QCon Rio - Machine Learning for Everyone

•

189 gefällt mir•11,733 views

Já não são mais necessários supercomputadores e times de PhDs do MIT para a criação de modelos preditivos baseados em dados. Estamos presenciando inovações em Aprendizado de Máquina que estão tornando este campo cada vez mais acessível. Esta palestra tem como objetivo desmistificar o aprendizado de máquina, através da exposição de conceitos e uso de uma série de tecnologias. Serão abordados os tipos de problemas desta área(classificação, regressão, clusterização, redução de dimensionalidade, etc.), suas as etapas (normalização, treinamento, otimização, regularização, etc.) e seus algoritmos, desde regressão linear, k-means, passando por árvores de decisão e até redes neurais, sempre aplicadas a problemas reais. Na palestra, também conheceremos ferramentas como Sckit-learn, Pandas, R, MATLAB e Amazon Machine Learning, além de uma forma para praticar e experimentar estas ideias através de competições como o Kaggle.

Daten & Analysen Ingenieurwesen

@dhianadeva
MACHINE LEARNING
FOR EVERYONE
Demystifying machine learning!

AGENDA
Goal:
Encourage you to start a machine learning project. Today!
● About me
● About you
● Machine Learning
● Problems
● Design
● Algorithms
● Evaluation
● Code snippets
● Pay-as-you-go
● Competitions

ABOUT ME
Electronics Engineering, Software Development and Data
Science… Why not?

MACHINE LEARNING
Learning, machine learning!

FEATURE
EXTRACTION
Item {
Feature 1
Feature 2
…
Feature N

SUPERVISED
LEARNING
458316,86.513,24.312,64.983,65.8
58317,135.493,2.204,101.966,46.5
458318,-999.0,91.803,113.007,120.
Feature VectorsItems
New item
Machine Learning
Algorithm
458316,86.513,24.312,64.983,65.8
Feature Vector
133
Expected
Label
Predictive Model
150
623
74
Labels

UNSUPERVISED
LEARNING
Items
New item
Machine Learning
Algorithm
458316,86.513,24.312,64.983,65.8
Feature Vector
Predictive Model
Better
Representation
458316,86.513,24.312,64.983,65.8
58317,135.493,2.204,101.966,46.5
458318,-999.0,91.803,113.007,120.
Feature Vectors

PROBLEMS
I've got 99 problems, but machine learning ain't one!

ALGORITHMS PT. I
Linear Regression
Decision Trees Random Forest

ALGORITHMS PT. II
K-Nearest Neighbors K-Means

CONFUSION MATRIX
Precision =
TP
Recall =
F1-score =
2 * precision * recall
precision + recall
TP + FP
TP
TP + FN
TP = True Positives
TN = True Negatives
FP = False Positives
FN = False Negatives

MATLAB 101
[x,y] = ovarian_dataset;
net = patternnet(5);
[net,tr] = train(net,x,y);
testX = x(:,tr.testInd);
testY = net(testX);

$MATLAB 201 net = patternnet(14); net.input.processFcns = {'mapminmax', 'fixunknowns', 'processpca'}; net.inputs{1}.processParams{3}.maxfrac = 0.02; net.trainFcn = 'trainlm'; net.performFcn = 'mse'; net.divideParam.trainRatio = 70/100; net.divideParam.valRatio = 15/100; net.divideParam.testRatio = 15/100; [net, tr] = train(net_config, test_inputs, train_targets); outputs = net(test_inputs);$

R
library(randomForest)
raw.orig < - read.csv(file="train.txt", header=T, sep="t")
frmla = Metal ~ OTW + AirDecay + Koc
fit.rf = randomForest(frmla, data=raw)
print(fit.rf)
importance(fit.rf)

SCIKIT LEARN
dataset = pd.read_csv('Data/train.csv')
target = dataset.Activity.values
train = dataset.drop('Activity', axis=1).values
test = pd.read_csv('Data/test.csv').values
rf = RandomForestClassifier(n_estimators=100, n_jobs=-1)
rf.fit(train, target)
predicted_probs = [x[1] for x in rf.predict_proba(test)]
importances = rf.feature_importances_

PAY-AS-YOU-GO
SERVICES
Amazon Machine Learning

AMAZON
MACHINE LEARNING
Five easy steps
1. Upload csv dataset to Amazon S3
2. Create Datasource with metadata about uploaded
dataset
3. Create ML Model with configurations for model training
4. Create Evaluation to analyse and tune model efficiency
5. Create Prediction to use trained model with new data

DATA SCIENCE
COMPETITIONS
Challenge accepted!

END TO END
TRAINTRAIN.CSV
TEST.CSV
TRAINED.DAT
RUN SOLUTION.CSV

THANK YOU
Questions?
Dhiana Deva
ddeva@thoughtworks.com

Weitere ähnliche Inhalte

Was ist angesagt?

Machine learning

Dr Geetha Mohan

Ai startups in healthcare By Dr.Mahboob Khan

Healthcare consultant

Probabilistic programming is a new approach to machine learning and data science that is currently the focus of intense academic research, including an ongoing DARPA program. If successful, probabilistic programming systems will allow sophisticated predictive models to be written by a wide range of domain experts. Before we get to the promised land, though, some basic challenges need to be addressed, including performance on real-world datasets, programming tools support, and education.

Probabilistic Programming: Why, What, How, When?

Salesforce Engineering

Presentation slides from my September 2023 guest lecture on Generative AI and its impact on creativity. The lecture also highlights the key themes of my recent July/August 2023 Harvard Business Review (HBR) cover article, exploring the potential of Generative AI to enhance human creativity. Additionally, the presentation engages in a discussion regarding the emerging opportunities and challenges within this domain. Generative AI (GAI) refers to a type of artificial intelligence that is able to generate new data or content, such as text, images, or music. This is typically done by training a model on a large dataset of existing data, and then using the model to generate new, similar data. -Promote Divergent Thinking -Challenge Expertise Bias -Assist in Idea Evaluation -Support Idea Refinement -Facilitate Collaboration https://hbr.org/2023/07/how-generative-ai-can-augment-human-creativity One of the biggest opportunities generative AI offers to businesses and governments is to augment human creativity and overcome the challenges of democratizing innovation.

AUGMENTING CREATIVITY USING GEN AI FOR DESIGN & INNOVATION | TOJIN T. EAPEN

Tojin Eapen, PhD

Vector database

Guy Korland

Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities? This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.

Unlocking the Power of Generative AI An Executive's Guide.pdf

PremNaraindas1

Machine Learning & AI - 2022 intro for pre-college students.pdf

Ed Fernandez

Recommendation system

Vikrant Arya

Cloud, IoT, Big Data, and Virtualization

Aditya Widya Manggala

Machine learning techniques are powerful, but building and deploying such models for production use require a lot of care and expertise. A lot of books, articles, and best practices have been written and discussed on machine learning techniques and feature engineering, but putting those techniques into use on a production environment is usually forgotten and under- estimated , the aim of this talk is to shed some lights on current machine learning deployment practices, and go into details on how to deploy sustainable machine learning pipelines.

Deploying Machine Learning Models to Production

Anass Bensrhir - Senior Data Scientist

Machine Learning

Girish Khanzode

Project Explanation: Book Recommendation System The goal of this project was to develop a book recommendation system that provides personalized recommendations to users based on their preferences and past reading behavior. The project involved the following key steps: 1. Data Collection: I gathered a comprehensive dataset of books, including information such as titles, authors, genres, and user ratings. This data was obtained from various reliable sources, such as online bookstores or publicly available book datasets. 2. Data Preprocessing: The collected data required cleaning and preprocessing to ensure its quality and consistency. I handled missing values, resolved inconsistencies in book titles or authors, and standardized the data format for further analysis. 3. Exploratory Data Analysis: I performed exploratory data analysis to gain insights into the dataset. This included analyzing book genres, distribution of user ratings, and identifying popular authors or books. 4. Feature Engineering: To capture the preferences and interests of users, I created relevant features from the available data. These features could include book genres, authors, user demographics, or historical reading behavior. 5. Recommendation Model Development: I developed a recommendation model using collaborative filtering techniques or content-based filtering methods. Collaborative filtering utilizes the preferences of similar users to make recommendations, while content-based filtering suggests books based on their attributes and user preferences. I employed popular machine learning algorithms, such as matrix factorization or k-nearest neighbors, to build the recommendation model. 6. Model Evaluation: I evaluated the performance of the recommendation system using metrics such as precision, recall, or mean average precision. I also conducted A/B testing or cross-validation to assess the system's effectiveness and optimize its performance. 7. User Interface Development: I created a user-friendly interface where users could input their preferences and receive personalized book recommendations. The interface provided an intuitive and interactive experience, allowing users to explore recommended books and provide feedback. 8. Deployment and Feedback Loop: The recommendation system was deployed in a production environment, where users could access it and provide feedback on the recommended books. This feedback was incorporated into the system to continually improve its accuracy and relevance over time. By completing this project, I gained hands-on experience in data collection, preprocessing, exploratory data analysis, and recommendation system development. I demonstrated my ability to leverage machine learning algorithms and user data to build a personalized book recommendation system that enhances user engagement and satisfaction.

Book Recommendations.pptx

DishaSharma337110

Deep Learning

Shaikh Shahzad

ChatGPT for Data Science Projects presentation introduces the capabilities of ChatGPT, an AI large language generative model that can assist data scientists in various stages of a project. The presentation covers three main topics: data exploration and analysis, building predictive models, and model evaluation and selection. Each topic includes examples of questions that can be asked of ChatGPT to generate insights and assist with decision-making. The presentation also includes a section on setting up ChatGPT for data analysis, covering topics such as installing required libraries, preparing data, and initializing ChatGPT. This presentation is ideal for anyone interested in exploring the capabilities of AI language models in data science projects.

ChatGPT for Data Science Projects

Ajitesh Kumar

The How and Why of Feature Engineering

Alice Zheng

Enterprise JavaScript Error Handling (Ajax Experience 2008)

Nicholas Zakas

Getting Started with ChatGPT.pdf

Manish Chopra

Machine Learning - Accuracy and Confusion Matrix

Andrew Ferlitsch

A Comprehensive Review of Large Language Models for.pptx

SaiPragnaKancheti

Quality Engineering in the New

Accenture Technology

Was ist angesagt? (20)

Machine learning

Ai startups in healthcare By Dr.Mahboob Khan

Probabilistic Programming: Why, What, How, When?

AUGMENTING CREATIVITY USING GEN AI FOR DESIGN & INNOVATION | TOJIN T. EAPEN

Vector database

Unlocking the Power of Generative AI An Executive's Guide.pdf

Machine Learning & AI - 2022 intro for pre-college students.pdf

Recommendation system

Cloud, IoT, Big Data, and Virtualization

Deploying Machine Learning Models to Production

Machine Learning

Book Recommendations.pptx

Deep Learning

ChatGPT for Data Science Projects

The How and Why of Feature Engineering

Enterprise JavaScript Error Handling (Ajax Experience 2008)

Getting Started with ChatGPT.pdf

Machine Learning - Accuracy and Confusion Matrix

A Comprehensive Review of Large Language Models for.pptx

Quality Engineering in the New

Ähnlich wie QCon Rio - Machine Learning for Everyone

Automate ml workflow_transmogrif_ai-_chetan_khatri_berlin-scala

Chetan Khatri

maxbox starter60 machine learning

Max Kleiner

Learning Predictive Modeling with TSA and Kaggle

Yvonne K. Matos

Presented at Scala Italy 2016 with Andrea Bessi Neural networks and deep learning have seen a spectacular advance during the last few years and represent now the state of the art in tasks such as image recognition, automated translations and natural language processing. Unfortunately, most of the high performance deep learning implementations are single-node only, not being therefore particularly scalable. During this talk, we will demonstrate how Apache Spark, the fast and general engine for large-scale data processing, can be used to train artificial neural networks, thus allowing to achieve high performance and parallel computing at the same time.

Deep Learning with Apache Spark: an Introduction

Emanuele Bezzi

MATLAB for Technical Computing

Naveed Rehman

TransmogrifAI - Automate Machine Learning Workflow with the power of Scala an...

Chetan Khatri

4.6.16 AI&BigData Lab Upcoming events: goo.gl/I2gJ4H В докладе постараюсь рассказать об особенностях промышленного использования моделей машинного обучения. Какие особенности возникают при обучении распределенных моделей. Как понять и предвидеть поведение модели с увеличением количества данных. Как настраивать и выбирать аккуратные модели с учетом ограниченных ресурсов кластера.

AI&BigData Lab 2016. Руденко Петр: Особенности обучения, настройки и использо...

GeeksLab Odessa

http://imatge-upc.github.io/telecombcn-2016-dlcv/ Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of big annotated data and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which had been addressed until now with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or text captioning.

Deep Learning for Computer Vision: Software Frameworks (UPC 2016)

Universitat Politècnica de Catalunya

Machine Learning and Go. Go!

Diana Ortega

Object Oriented Programming in Matlab

AlbanLevy

Faster computation with matlab

Muhammad Alli

K fold validation

Masrur Ahmed

How should data be preprocessed for use in machine learning algorithms? How to identify the most predictive attributes of a dataset? What features can generate to improve the accuracy of a model? Feature Engineering is the process of extracting and selecting, from raw data, features that can be used effectively in predictive models. As the quality of the features greatly influences the quality of the results, knowing the main techniques and pitfalls will help you to succeed in the use of machine learning in your projects. In this talk, we will present methods and techniques that allow us to extract the maximum potential of the features of a dataset, increasing flexibility, simplicity and accuracy of the models. The analysis of the distribution of features and their correlations, the transformation of numeric attributes (such as scaling, normalization, log-based transformation, binning), categorical attributes (such as one-hot encoding, feature hashing, Temporal (date / time), and free-text attributes (text vectorization, topic modeling). Python, Python, Scikit-learn, and Spark SQL examples will be presented and how to use domain knowledge and intuition to select and generate features relevant to predictive models.

Feature Engineering - Getting most out of data for predictive models - TDC 2017

Gabriel Moreira

These are the slides from workshop: Introduction to Machine Learning with R which I gave at the University of Heidelberg, Germany on June 28th 2018. The accompanying code to generate all plots in these slides (plus additional code) can be found on my blog: https://shirinsplayground.netlify.com/2018/06/intro_to_ml_workshop_heidelberg/ The workshop covered the basics of machine learning. With an example dataset I went through a standard machine learning workflow in R with the packages caret and h2o: - reading in data - exploratory data analysis - missingness - feature engineering - training and test split - model training with Random Forests, Gradient Boosting, Neural Nets, etc. - hyperparameter tuning

Workshop - Introduction to Machine Learning with R

Shirin Elsinghorst

What is in that image

Debarko De

Machine Learning, Deep Learning and Data Analysis Introduction

Te-Yen Liu

Feature Engineering - Getting most out of data for predictive models

Gabriel Moreira

IRJET- Unabridged Review of Supervised Machine Learning Regression and Classi...

IRJET Journal

Language models help in automating a wide range of natural language processing (NLP) tasks such as speech recognition, machine translation, text summarization and more. Transformer architecture was introduced a few years back and it has significantly changed the NLP landscape since then. Transformer based models are getting bigger and better to improve the state of the art on language understanding and generation tasks.

Accelerated Training of Transformer Models

Databricks

https://telecombcn-dl.github.io/2017-dlcv/ Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or image captioning.

Software Frameworks for Deep Learning (D1L7 2017 UPC Deep Learning for Comput...

Universitat Politècnica de Catalunya

Ähnlich wie QCon Rio - Machine Learning for Everyone (20)

Automate ml workflow_transmogrif_ai-_chetan_khatri_berlin-scala

maxbox starter60 machine learning

Learning Predictive Modeling with TSA and Kaggle

Deep Learning with Apache Spark: an Introduction

MATLAB for Technical Computing

TransmogrifAI - Automate Machine Learning Workflow with the power of Scala an...

AI&BigData Lab 2016. Руденко Петр: Особенности обучения, настройки и использо...

Deep Learning for Computer Vision: Software Frameworks (UPC 2016)

Machine Learning and Go. Go!

Object Oriented Programming in Matlab

Faster computation with matlab

K fold validation

Feature Engineering - Getting most out of data for predictive models - TDC 2017

Workshop - Introduction to Machine Learning with R

What is in that image

Machine Learning, Deep Learning and Data Analysis Introduction

Feature Engineering - Getting most out of data for predictive models

IRJET- Unabridged Review of Supervised Machine Learning Regression and Classi...

Accelerated Training of Transformer Models

Software Frameworks for Deep Learning (D1L7 2017 UPC Deep Learning for Comput...

Mehr von Dhiana Deva

Introducing Machine Learning is like opening the Pandora's Box - it unveils important issues in your data, metrics, and product. In order to deal with such complexity, pragmatic practices are required to obtain reliable results. In this talk, we will go through learnings gained from introducing Machine Learning in different contexts, from academia, start-ups, consulting to tech giants - covering practices for experimentation, infrastructure, planning, performance evaluation and product vision in the context of machine learning products.

Machine Learning: Opening the Pandora's Box - Dhiana Deva @ QCon São Paulo 2019

Dhiana Deva

Machine Learning in Python - PyLadies Stockholm

Dhiana Deva

It’s no longer needed supercomputers and a team with PhDs from MIT to create predictive models based on data. We are witnessing innovations in machine learning that are making it an increasingly accessible field. This lecture aims to demystify machine learning through exposure to concepts and use of a number of technologies. In this talk, we will address the types of problems and the algorithms, always applied to real problems. Also, open source tools like Scikit-learn will be presented as well as a way to practice and try these ideas through competitions like Kaggle.

Machine Learning for Everyone

Dhiana Deva

Um Pouquinho Sobre Métodos Ágeis - Rails Girls SP

Dhiana Deva

Estamos presenciando inovações tecnológicas que possibilitam utilizar ciência dos dados sem a necessidade de antecipar grandes investimentos. Este contexto facilita a adoção de práticas e valores ágeis que encorajam a antecipação de insights e aprendizado contínuo. Nesta palestra, iremos abordar temas como times multi-funcionais, práticas ágeis de engenharia de software e desenvolvimento iterativo, incremental e colaborativo no contexto de produtos e soluções de ciência dos dados.

Agile Data Science

Dhiana Deva

We love NLTK

Dhiana Deva

My First Attempt on Kaggle - Higgs Machine Learning Challenge: 755st and Proud!

Dhiana Deva

AR Post-its @ CBSOFT

Dhiana Deva

Self-Organizing Maps 101 (Dhiana Deva)

Dhiana Deva

Sistemas de recomendação

Dhiana Deva

Mehr von Dhiana Deva (10)

Machine Learning: Opening the Pandora's Box - Dhiana Deva @ QCon São Paulo 2019

Machine Learning in Python - PyLadies Stockholm

Machine Learning for Everyone

Um Pouquinho Sobre Métodos Ágeis - Rails Girls SP

Agile Data Science

We love NLTK

My First Attempt on Kaggle - Higgs Machine Learning Challenge: 755st and Proud!

AR Post-its @ CBSOFT

Self-Organizing Maps 101 (Dhiana Deva)

Sistemas de recomendação

Kürzlich hochgeladen

Just Call Vip call girls kakinada Escorts ☎️9352988975 Two shot with one girl (kakinada ) Booking Contact Details :- WhatsApp Chat :- +91-9352988975 If you're looking for India Call girls you've come to the right place. You'll find some of the most beautiful call girls in our location with. These ladies have pleasing personalities, hot figures, and a passion for physical pleasure. Call girls in India Lucknow Many men have booked them for their erotic and soul-mixing performances, which are sure to leave you with unforgettable memories. #K09 Escort Service India is available in the city for men and women of all ages. They can satisfy your sexual needs and will make your experience even more enjoyable and memorable. Whether you're looking for a blow-job, stripping, lovemaking, or other dirty acts, you'll be able to find a match for your tastes and budget. These highly trained professionals will help you have an unforgettable night. One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —9352988975 We are available 24*7 all days of the year. Call us — 9352988975 Thank you for Visiting.

Just Call Vip call girls kakinada Escorts ☎️9352988975 Two shot with one girl...

gajnagarg

Saudi Arabia [ Abortion pills) Jeddah/riaydh/dammam/+966572737505☎️] cytotec tablets uses abortion pills 💊💊 How effective is the abortion pill? 💊💊 +966572737505) "Abortion pills in Jeddah" how to get cytotec tablets in Riyadh " Abortion pills in dammam*💊💊 The abortion pill is very effective. If you’re taking mifepristone and misoprostol, it depends on how far along the pregnancy is, and how many doses of medicine you take:💊💊 +966572737505) how to buy cytotec pills At 8 weeks pregnant or less, it works about 94-98% of the time. +966572737505[ 💊💊💊 At 8-9 weeks pregnant, it works about 94-96% of the time. +966572737505) At 9-10 weeks pregnant, it works about 91-93% of the time. +966572737505)💊💊 If you take an extra dose of misoprostol, it works about 99% of the time. At 10-11 weeks pregnant, it works about 87% of the time. +966572737505) If you take an extra dose of misoprostol, it works about 98% of the time. In general, taking both mifepristone and+966572737505 misoprostol works a bit better than taking misoprostol only. +966572737505 Taking misoprostol alone works to end the+966572737505 pregnancy about 85-95% of the time — depending on how far along the+966572737505 pregnancy is and how you take the medicine. +966572737505 The abortion pill usually works, but if it doesn’t, you can take more medicine or have an in-clinic abortion. +966572737505 When can I take the abortion pill?+966572737505 In general, you can have a medication abortion up to 77 days (11 weeks)+966572737505 after the first day of your last period. If it’s been 78 days or more since the first day of your last+966572737505 period, you can have an in-clinic abortion to end your pregnancy.+966572737505 Why do people choose the abortion pill? Which kind of abortion you choose all depends on your personal+966572737505 preference and situation. With+966572737505 medication+966572737505 abortion, some people like that you don’t need to have a procedure in a doctor’s office. You can have your medication abortion on your own+966572737505 schedule, at home or in another comfortable place that you choose.+966572737505 You get to decide who you want to be with during your abortion, or you can go it alone. Because+966572737505 medication abortion is similar to a miscarriage, many people feel like it’s more “natural” and less invasive. And some+966572737505 people may not have an in-clinic abortion provider close by, so abortion pills are more available to+966572737505 them. +966572737505 Your doctor, nurse, or health center staff can help you decide which kind of abortion is best for you. +966572737505 More questions from patients: Saudi Arabia+966572737505 CYTOTEC Misoprostol Tablets. Misoprostol is a medication that can prevent stomach ulcers if you also take NSAID medications. It reduces the amount of acid in your stomach, which protects your stomach lining. The brand name of this medication is Cytotec®.+966573737505) Unwanted Kit is a combination of two medici

Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec

Abortion pills in Riyadh +966572737505 get cytotec

Ashok Vihar Call Girls in Delhi (–9953330565) Escort Service In Delhi NCR PROVIDE 100% REAL GIRLS ALL ARE GIRLS LOOKING MODELS AND RAM MODELS ALL GIRLS” INDIAN , RUSSIAN ,KASMARI ,PUNJABI HOT GIRLS AND MATURED HOUSE WIFE BOOKING ONLY DECENT GUYS AND GENTLEMAN NO FAKE PERSON FREE HOME SERVICE IN CALL FULL AC ROOM SERVICE IN SOUTH DELHI Ultimate Destination for finding a High Profile Independent Escorts in Delhi.Gurgaon.Noida..!.Like You Feel 100% Real Girl Friend Experience. We are High Class Delhi Escort Agency offering quality services with discretion. We only offer services to gentlemen people. We have lots of girls working with us like students, Russian, models, house wife, and much More We Provide Short Time and Full Night Service Call ☎☎+91–9953330565 ❤꧂ • In Call and Out Call Service in Delhi NCR • 3* 5* 7* Hotels Service in Delhi NCR • 24 Hours Available in Delhi NCR • Indian, Russian, Punjabi, Kashmiri Escorts • Real Models, College Girls, House Wife, Also Available • Short Time and Full Time Service Available • Hygienic Full AC Neat and Clean Rooms Avail. In Hotel 24 hours • Daily New Escorts Staff Available • Minimum to Maximum Range Available. Location;- Delhi, Gurgaon, NCR, Noida, and All Over in Delhi Hotel and Home Services HOTEL SERVICE AVAILABLE :-REDDISSON BLU,ITC WELCOM DWARKA,HOTEL-JW MERRIOTT,HOLIDAY INN MAHIPALPUR AIROCTY,CROWNE PLAZA OKHALA,EROSH NEHRU PLACE,SURYAA KALKAJI,CROWEN PLAZA ROHINI,SHERATON PAHARGANJ,THE AMBIENC,VIVANTA,SURAJKUND,ASHOKA CONTINENTAL , LEELA CHANKYAPURI,_ALL 3* 5* 7* STARTS HOTEL SERVICE BOOKING CALL Call WHATSAPP Call ☎+91–9953330565❤꧂ NIGHT SHORT TIME BOTH ARE AVAILABLE

Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service

9953056974 Low Rate Call Girls In Saket, Delhi NCR

Klinik_ Apotek Onlin 085657271886 Solusi Menggugurkan Masalah Kehamilan Anda Jual Obat Aborsi Asli KLINIK ABORSI TERPEECAYA _ Jual Obat Aborsi Cytotec Misoprostol Asli 100% Ampuh Hanya 3 Jam Langsung Gugur || OBAT PENGGUGUR KANDUNGAN AMPUH MANJUR OBAT ABORSI OLINE" APOTIK Jual Obat Cytotec, Gastrul, Gynecoside Asli Ampuh. JUAL ” Obat Aborsi Tuntas | Obat Aborsi Manjur | Obat Aborsi Ampuh | Obat Penggugur Janin | Obat Pencegah Kehamilan | Obat Pelancar Haid | Obat terlambat Bulan | Ciri Obat Aborsi Asli | Obat Telat Bulan | Pil Aborsi Asli | Cara Menggugurkan Konten | Cara Aborsi Tuntas | Harga Obat Aborsi Asli | Pil Aborsi | Jual Obat Aborsi Cytotec | Cara Aborsi Sendiri | Cara Aborsi Usia 1 Bulan | Cara Aborsi Usia 2 Tahun | Cara Aborsi Usia 3 Bulan | Obat Aborsi Usia 4 Bulan | Cara Abrasi Usia 5 Bulan | Cara Menggugurkan Konten | Kandungan Obat Penggugur | Cara Menghitung Usia Konten | Cara Mengatasi Terlambat Bulan | Penjual Obat Aborsi Asli | Obat Aborsi Garansi | Kandungan Obat Peluntur | Obat Telat Datang Bulan | Obat Telat Haid | Obat Aborsi Paling Murah | Klinik Jual Obat Aborsi | Jual Pil Cytotec | Apotik Jual Obat Aborsi | Kandungan Dokter Abrasi | Cara Aborsi Cepat | Jual Obat Aborsi Bergaransi | Jual Obat Cytotec Asli | Obat Aborsi Aman Manjur | Obat Misoprostol Cytotec Asli. "APA ITU ABORSI" “Aborsi Adalah dengan membendung hormon yang di perlukan untuk mempertahankan kehamilan yaitu hormon progesteron, karena hormon ini dibendung, maka jalur kehamilan mulai membuka dan leher rahim menjadi melunak,sehingga mengeluarkan darah yang merupakan tanda bahwa obat telah bekerja || maksimal 1 jam obat diminum || PENJELASAN OBAT ABORSI USIA 1 _7 BULAN Pada usia kandungan ini, pasien akan merasakan sakit yang sedikit tidak berlebihan || sekitar 1 jam ||. namun hanya akan terjadi pada saatdarah keluar merupakan pertanda menstruasi. Hal ini dikarenakan pada usiakandungan 3 bulan,janin sudah terbentuk sebesar kepalan tangan orang dewasa. Cara kerja obat aborsi : JUAL OBAT ABORSI AMPUH dosis 3 bulan secara umum sama dengan cara kerja || DOSIS OBAT ABORSI 2 bulan”, hanya berbedanya selain mengisolasijanin juga menghancurkan janin dengan formula methotrexate dikandungdidalamnya. Formula methotrexate ini sangat ampuh untuk menghancurkan janinmenjadi serpihan-serpihan kecil akan sangat berguna pada saat dikeluarkan nanti. APA ALASAN WANITA MELAKUKAN ABORSI? Aborsi di lakukan wanita hamil baik yang sudah menikah maupun belum menikah dengan berbagai alasan , akan tetapi alasan yang utama adalah alasan-alasan non medis (termasuk aborsi sendiri / di sengaja/ buatan] MELAYANI PEMESANAN OBAT ABORSI SETIAP HARI, SIAP KIRIM KESELURUH KOTA BESAR DI INDONESIA DAN LUAR NEGERI. HUBUNGI PEMESANAN LEBIH NYAMAN VIA WA/: 085657271886

Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...

ZurliaSoop

Building Real-Time Pipelines With FLaNK Timothy Spann, Principal Developer Advocate, Streaming - Cloudera Future of Data meetup, startup grind, AI Camp The combination of Apache Flink, Apache NiFi, and Apache Kafka for building real-time data processing pipelines is extremely powerful, as demonstrated by this case study using the FLaNK-MTA project. The project leverages these technologies to process and analyze real-time data from the New York City Metropolitan Transportation Authority (MTA). FLaNK-MTA demonstrates how to efficiently collect, transform, and analyze high-volume data streams, enabling timely insights and decision-making. Apache NiFi Apache Kafka Apache Flink Apache Iceberg LLM Generative AI Slack Postgresql

DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK

Timothy Spann

Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand Booking Contact Details :- WhatsApp Chat :- +91-7737669865 Call Girls In Model Towh +91-7737669865 !! Best Woman Seeking Man Call Girls Service, Escorts Service in Home Hotel in NCR 24 Hours Available Service Call Girls, Contact Us +91-7737669865 (Any Time. Any Where) Call Girls in , Noida, Gurgaon, Ghaziabad,Sexy Indian Female Escorts Service NCRWelcome To Escorts Service – An All Over New Very Sexy Hot Call Girls Agency Service Escorts In South NCR’s No. 1 High Profile Independent Female Escorts Service. We Provide Good Quality Educated Profile At #K09 Very Regnebal Price 100% Safe And Original.We Are Provide Escorts Service All OYO Hotels ,3*,4*,5* Star Hotel And Home Flat, Apartment. Guest-House. Services In -Call And Out – Call Both Are Services Available. 24Hrs. Any Time Any Where. In All Over Noida Gurgaon Ghaziabad Faridabad.More Information And Contact Profile Real Pic Visit Our Website City Wise Escorts Service Agency.Good Looking Cheap And Best Models Girls U Can Get Best Click On Link……Night Call Girls Now In Hotel Le Meridien Gurgaon Near Female Escort One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —7737669865 We are available 24*7 all days of the year. Call us — 7737669865 Thank you for Visiting.

Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand

amitlee9823

Just Call Vip call girls Mysore Escorts ☎️9352988975 Two shot with one girl (Mysore ) Booking Contact Details :- WhatsApp Chat :- +91-9352988975 If you're looking for India Call girls you've come to the right place. You'll find some of the most beautiful call girls in our location with. These ladies have pleasing personalities, hot figures, and a passion for physical pleasure. Call girls in India Lucknow Many men have booked them for their erotic and soul-mixing performances, which are sure to leave you with unforgettable memories. #K09 Escort Service India is available in the city for men and women of all ages. They can satisfy your sexual needs and will make your experience even more enjoyable and memorable. Whether you're looking for a blow-job, stripping, lovemaking, or other dirty acts, you'll be able to find a match for your tastes and budget. These highly trained professionals will help you have an unforgettable night. One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —9352988975 We are available 24*7 all days of the year. Call us — 9352988975 Thank you for Visiting.

Just Call Vip call girls Mysore Escorts ☎️9352988975 Two shot with one girl (...

gajnagarg

Just Call Vip call girls Erode Escorts ☎️9352988975 Two shot with one girl (Erode ) Booking Contact Details :- WhatsApp Chat :- +91-9352988975 If you're looking for India Call girls you've come to the right place. You'll find some of the most beautiful call girls in our location with. These ladies have pleasing personalities, hot figures, and a passion for physical pleasure. Call girls in India Lucknow Many men have booked them for their erotic and soul-mixing performances, which are sure to leave you with unforgettable memories. #K09 Escort Service India is available in the city for men and women of all ages. They can satisfy your sexual needs and will make your experience even more enjoyable and memorable. Whether you're looking for a blow-job, stripping, lovemaking, or other dirty acts, you'll be able to find a match for your tastes and budget. These highly trained professionals will help you have an unforgettable night. One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —9352988975 We are available 24*7 all days of the year. Call us — 9352988975 Thank you for Visiting.

Just Call Vip call girls Erode Escorts ☎️9352988975 Two shot with one girl (E...

gajnagarg

Aspirational Block Program Block Syaldey District - Almora

GovindSinghDasila

Model Call Girl Services in Delhi reach out to us at 🔝 9953056974 🔝✔️✔️ Our agency presents a selection of young, charming call girls available for bookings at Oyo Hotels. Experience high-class escort services at pocket-friendly rates, with our female escorts exuding both beauty and a delightful personality, ready to meet your desires. Whether it's Housewives, College girls, Russian girls, Muslim girls, or any other preference, we offer a diverse range of options to cater to your tastes. We provide both in-call and out-call services for your convenience. Our in-call location in Delhi ensures cleanliness, hygiene, and 100% safety, while our out-call services offer doorstep delivery for added ease. We value your time and money, hence we kindly request pic collectors, time-passers, and bargain hunters to refrain from contacting us. Our services feature various packages at competitive rates: One shot: ₹2000/in-call, ₹5000/out-call Two shots with one girl: ₹3500/in-call, ₹6000/out-call Body to body massage with sex: ₹3000/in-call Full night for one person: ₹7000/in-call, ₹10000/out-call Full night for more than 1 person: Contact us at 🔝 9953056974 🔝. for details Operating 24/7, we serve various locations in Delhi, including Green Park, Lajpat Nagar, Saket, and Hauz Khas near metro stations. For premium call girl services in Delhi 🔝 9953056974 🔝. Thank you for considering us!

CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE

9953056974 Low Rate Call Girls In Saket, Delhi NCR

Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore Escorts Service Booking Contact Details :- WhatsApp Chat :- +91-7737669865 2-May-2024(SMW) Call Girls In Model Towh Bangalore +91-7737669865 !! Best Woman Seeking Man Call Girls Service, Escorts Service in Home Hotel in Bangalore NCR 24 Hours Available Service Call Girls, Contact Us +91-7737669865 (Any Time. Any Where) Call Girls in Bangalore, Noida, Gurgaon, Ghaziabad,Sexy Indian Female Escorts Service Bangalore NCRWelcome To Bangalore Escorts Service – An All Over New Bangalore Very Sexy Hot Call Girls Agency Service Escorts In South BangaloreNCRBangalore’s No. 1 High Profile Independent Female Escorts Service. We Provide Good Quality Educated Profile At Very Regnebal Price 100% Safe And Original.We Are Provide Escorts Service All OYO Hotels ,3*,4*,5* Star Hotel And Home Flat, Apartment. Guest-House. Services In -Call And Out – Call Both Are Services Available. 24Hrs. Any Time Any Where. In All Over Bangalore Noida Gurgaon Ghaziabad Faridabad.More Information And Contact Profile Real Pic Visit Our Website City Wise Escorts Service Agency.Good Looking Cheap And Best Models Girls U Can Get Best Click On Link……Night Call Girls Now In Hotel Le Meridien Gurgaon Near Female Escort One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —7737669865 We are available 24*7 all days of the year. Call us — 7737669865 Thank you for Visiting.

Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...

amitlee9823

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K to 25K High Profile Escorts In Pune Booking Now open +91- 8005736733 Why you Choose Us- +91- 8005736733 HOT⇄ 8005736733 Mr ashu ji Call Mr ashu Ji +91- 8005736733 (V030524]N) 𝐇𝐨𝐭𝐞𝐥 𝐑𝐨𝐨𝐦𝐬 𝐈𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐑𝐚𝐭𝐞 𝐒𝐡𝐨𝐭𝐬/𝐇𝐨𝐮𝐫𝐲🆓 .█▬█⓿▀█▀ 𝐈𝐍𝐃𝐄𝐏𝐄𝐍𝐃𝐄𝐍𝐓 𝐆𝐈𝐑𝐋 𝐕𝐈𝐏 𝐄𝐒𝐂𝐎𝐑𝐓 Hello Guys ! High Profiles young Beauties and Good Looking standard Profiles Available , Enquire Now if you are interested in Hifi Service and want to get connect with someone who can understand your needs. Service offers you the most beautiful High Profile sexy independent female Escorts in genuine ✔✔✔ To enjoy with hot and sexy girls ✔✔✔ ★providing:- • Models • vip Models • Russian Models • Foreigner Models • TV Actress and Celebrities • Receptionist • Air Hostess • Call Center Working Girls/Women • Hi-Tech Co. Girls/Women • Housewife

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...

SUHANI PANDEY

Call Girls Begur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore Booking Contact Details :- WhatsApp Chat :- +91-7737669865 2-May-2024(SMW) Call Girls In Model Towh Bangalore +91-7737669865 !! Best Woman Seeking Man Call Girls Service, Escorts Service in Home Hotel in Bangalore NCR 24 Hours Available Service Call Girls, Contact Us +91-7737669865 (Any Time. Any Where) Call Girls in Bangalore, Noida, Gurgaon, Ghaziabad,Sexy Indian Female Escorts Service Bangalore NCRWelcome To Bangalore Escorts Service – An All Over New Bangalore Very Sexy Hot Call Girls Agency Service Escorts In South BangaloreNCRBangalore’s No. 1 High Profile Independent Female Escorts Service. We Provide Good Quality Educated Profile At Very Regnebal Price 100% Safe And Original.We Are Provide Escorts Service All OYO Hotels ,3*,4*,5* Star Hotel And Home Flat, Apartment. Guest-House. Services In -Call And Out – Call Both Are Services Available. 24Hrs. Any Time Any Where. In All Over Bangalore Noida Gurgaon Ghaziabad Faridabad.More Information And Contact Profile Real Pic Visit Our Website City Wise Escorts Service Agency.Good Looking Cheap And Best Models Girls U Can Get Best Click On Link……Night Call Girls Now In Hotel Le Meridien Gurgaon Near Female Escort One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —7737669865 We are available 24*7 all days of the year. Call us — 7737669865 Thank you for Visiting.

Call Girls Begur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore

amitlee9823

Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore Booking Contact Details :- WhatsApp Chat :- +91-7737669865 2-May-2024(SMW) Call Girls In Model Towh Bangalore +91-7737669865 !! Best Woman Seeking Man Call Girls Service, Escorts Service in Home Hotel in Bangalore NCR 24 Hours Available Service Call Girls, Contact Us +91-7737669865 (Any Time. Any Where) Call Girls in Bangalore, Noida, Gurgaon, Ghaziabad,Sexy Indian Female Escorts Service Bangalore NCRWelcome To Bangalore Escorts Service – An All Over New Bangalore Very Sexy Hot Call Girls Agency Service Escorts In South BangaloreNCRBangalore’s No. 1 High Profile Independent Female Escorts Service. We Provide Good Quality Educated Profile At Very Regnebal Price 100% Safe And Original.We Are Provide Escorts Service All OYO Hotels ,3*,4*,5* Star Hotel And Home Flat, Apartment. Guest-House. Services In -Call And Out – Call Both Are Services Available. 24Hrs. Any Time Any Where. In All Over Bangalore Noida Gurgaon Ghaziabad Faridabad.More Information And Contact Profile Real Pic Visit Our Website City Wise Escorts Service Agency.Good Looking Cheap And Best Models Girls U Can Get Best Click On Link……Night Call Girls Now In Hotel Le Meridien Gurgaon Near Female Escort One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —7737669865 We are available 24*7 all days of the year. Call us — 7737669865 Thank you for Visiting.

Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...

amitlee9823

Call Girls In Hsr Layout ☎ 7737669865 🥵 Book Your One night Stand Booking Contact Details :- WhatsApp Chat :- +91-7737669865 Call Girls In Model Towh +91-7737669865 !! Best Woman Seeking Man Call Girls Service, Escorts Service in Home Hotel in NCR 24 Hours Available Service Call Girls, Contact Us +91-7737669865 (Any Time. Any Where) Call Girls in , Noida, Gurgaon, Ghaziabad,Sexy Indian Female Escorts Service NCRWelcome To Escorts Service – An All Over New Very Sexy Hot Call Girls Agency Service Escorts In South NCR’s No. 1 High Profile Independent Female Escorts Service. We Provide Good Quality Educated Profile At #K09 Very Regnebal Price 100% Safe And Original.We Are Provide Escorts Service All OYO Hotels ,3*,4*,5* Star Hotel And Home Flat, Apartment. Guest-House. Services In -Call And Out – Call Both Are Services Available. 24Hrs. Any Time Any Where. In All Over Noida Gurgaon Ghaziabad Faridabad.More Information And Contact Profile Real Pic Visit Our Website City Wise Escorts Service Agency.Good Looking Cheap And Best Models Girls U Can Get Best Click On Link……Night Call Girls Now In Hotel Le Meridien Gurgaon Near Female Escort One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —7737669865 We are available 24*7 all days of the year. Call us — 7737669865 Thank you for Visiting.

Call Girls In Hsr Layout ☎ 7737669865 🥵 Book Your One night Stand

amitlee9823

This project demonstrates a machine learning approach to detecting credit card fraud using advanced algorithms and techniques. The project utilizes a dataset containing various features such as transaction amount, merchant location, time of transaction, and others to build a predictive model. The presentation covers data preprocessing steps, feature engineering techniques, and the selection of machine learning algorithms such as logistic regression or random forest. It also discusses model evaluation metrics and the importance of fraud detection in financial institutions for safeguarding against fraudulent activities. Visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/

Detecting Credit Card Fraud: A Machine Learning Approach

Boston Institute of Analytics

This project aims to predict whether a loan application will be approved or denied based on various factors such as applicant's income, credit score, loan amount, etc. Using a dataset containing historical loan application data, we employed machine learning algorithms to build a predictive model. The model was trained on features such as applicant's income, credit history, loan amount, loan term, and others. After training the model, we evaluated its performance using metrics like accuracy, precision, recall, and F1 score. The insights from this project can help financial institutions streamline their loan approval process and make informed decisions. Visit for more information: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/

Predicting Loan Approval: A Data Science Project

Boston Institute of Analytics

Call Girls In Bellandur ☎ 7737669865 🥵 Book Your One night Stand Booking Contact Details :- WhatsApp Chat :- +91-7737669865 Call Girls In Model Towh +91-7737669865 !! Best Woman Seeking Man Call Girls Service, Escorts Service in Home Hotel in NCR 24 Hours Available Service Call Girls, Contact Us +91-7737669865 (Any Time. Any Where) Call Girls in , Noida, Gurgaon, Ghaziabad,Sexy Indian Female Escorts Service NCRWelcome To Escorts Service – An All Over New Very Sexy Hot Call Girls Agency Service Escorts In South NCR’s No. 1 High Profile Independent Female Escorts Service. We Provide Good Quality Educated Profile At #K09 Very Regnebal Price 100% Safe And Original.We Are Provide Escorts Service All OYO Hotels ,3*,4*,5* Star Hotel And Home Flat, Apartment. Guest-House. Services In -Call And Out – Call Both Are Services Available. 24Hrs. Any Time Any Where. In All Over Noida Gurgaon Ghaziabad Faridabad.More Information And Contact Profile Real Pic Visit Our Website City Wise Escorts Service Agency.Good Looking Cheap And Best Models Girls U Can Get Best Click On Link……Night Call Girls Now In Hotel Le Meridien Gurgaon Near Female Escort One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —7737669865 We are available 24*7 all days of the year. Call us — 7737669865 Thank you for Visiting.

Call Girls In Bellandur ☎ 7737669865 🥵 Book Your One night Stand

amitlee9823

➥🔝 7737669865 🔝▻ malwa Call-girls in Women Seeking Men 🔝malwa🔝 Escorts Service Booking Contact Details :- WhatsApp Chat :- +91-7737669865 Call Girls In Model Towh +91-7737669865 !! Best Woman Seeking Man Call Girls Service, Escorts Service in Home Hotel in NCR 24 Hours Available Service Call Girls, Contact Us +91-7737669865 (Any Time. Any Where) Call Girls in , India,Sexy Indian Female Escorts Service NCRWelcome To Escorts Service – An All Over New Very Sexy Hot Call Girls Agency Service Escorts In South NCR’s No. 1 High Profile Independent Female Escorts Service. We Provide Good Quality Educated Profile At #K09 Very Regnebal Price 100% Safe And Original.We Are Provide Escorts Service All OYO Hotels ,3*,4*,5* Star Hotel And Home Flat, Apartment. Guest-House. Services In -Call And Out – Call Both Are Services Available. 24Hrs. Any Time Any Where. In All Over Noida Gurgaon Ghaziabad Faridabad.More Information And Contact Profile Real Pic Visit Our Website City Wise Escorts Service Agency.Good Looking Cheap And Best Models Girls U Can Get Best Click On Link……Night Call Girls Now In Hotel Le Meridien Gurgaon Near Female Escort One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —7737669865 We are available 24*7 all days of the year. Call us — 7737669865 Thank you for Visiting.

➥🔝 7737669865 🔝▻ malwa Call-girls in Women Seeking Men 🔝malwa🔝 Escorts Ser...

amitlee9823

Just Call Vip call girls Palakkad Escorts ☎️9352988975 Two shot with one girl (Palakkad ) Booking Contact Details :- WhatsApp Chat :- +91-9352988975 If you're looking for India Call girls you've come to the right place. You'll find some of the most beautiful call girls in our location with. These ladies have pleasing personalities, hot figures, and a passion for physical pleasure. Call girls in India Lucknow Many men have booked them for their erotic and soul-mixing performances, which are sure to leave you with unforgettable memories. #K09 Escort Service India is available in the city for men and women of all ages. They can satisfy your sexual needs and will make your experience even more enjoyable and memorable. Whether you're looking for a blow-job, stripping, lovemaking, or other dirty acts, you'll be able to find a match for your tastes and budget. These highly trained professionals will help you have an unforgettable night. One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —9352988975 We are available 24*7 all days of the year. Call us — 9352988975 Thank you for Visiting.

Just Call Vip call girls Palakkad Escorts ☎️9352988975 Two shot with one girl...

gajnagarg

Kürzlich hochgeladen (20)

Just Call Vip call girls kakinada Escorts ☎️9352988975 Two shot with one girl...

Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec

Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service

Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...

DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK

Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand

Just Call Vip call girls Mysore Escorts ☎️9352988975 Two shot with one girl (...

Just Call Vip call girls Erode Escorts ☎️9352988975 Two shot with one girl (E...

Aspirational Block Program Block Syaldey District - Almora

CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE

Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...

Call Girls Begur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore

Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...

Call Girls In Hsr Layout ☎ 7737669865 🥵 Book Your One night Stand

Detecting Credit Card Fraud: A Machine Learning Approach

Predicting Loan Approval: A Data Science Project

Call Girls In Bellandur ☎ 7737669865 🥵 Book Your One night Stand

➥🔝 7737669865 🔝▻ malwa Call-girls in Women Seeking Men 🔝malwa🔝 Escorts Ser...

Just Call Vip call girls Palakkad Escorts ☎️9352988975 Two shot with one girl...

QCon Rio - Machine Learning for Everyone

1. @dhianadeva MACHINE LEARNING FOR EVERYONE Demystifying machine learning!

2. AGENDA Goal: Encourage you to start a machine learning project. Today! ● About me ● About you ● Machine Learning ● Problems ● Design ● Algorithms ● Evaluation ● Code snippets ● Pay-as-you-go ● Competitions

3. ABOUT ME Electronics Engineering, Software Development and Data Science… Why not?

4. DHIANA DEVA

5. NEURALTB

6. CERN

7. NEURALRINGER

8. DJBRAZIL

9. HIGGS CHALLENGE

10. ABOUT YOU You can do it!

11. FOR ALL

12. MASSIVE ONLINE OPEN COURSES

13. OPEN SOURCE TOOLS

14. OPEN SOURCE PYTHON TOOLS

15. PAY-AS-YOU-GO SERVICES

16. MACHINE LEARNING Learning, machine learning!

17. EXPECTATIONS

18. REALITY

19. FEATURE EXTRACTION Item { Feature 1 Feature 2 … Feature N

20. FEATURE SPACE

21. SUPERVISED LEARNING 458316,86.513,24.312,64.983,65.8 58317,135.493,2.204,101.966,46.5 458318,-999.0,91.803,113.007,120. Feature VectorsItems New item Machine Learning Algorithm 458316,86.513,24.312,64.983,65.8 Feature Vector 133 Expected Label Predictive Model 150 623 74 Labels

22. UNSUPERVISED LEARNING Items New item Machine Learning Algorithm 458316,86.513,24.312,64.983,65.8 Feature Vector Predictive Model Better Representation 458316,86.513,24.312,64.983,65.8 58317,135.493,2.204,101.966,46.5 458318,-999.0,91.803,113.007,120. Feature Vectors

23. MODELS

24. BIOLOGICAL MOTIVATION

25. PROBLEMS I've got 99 problems, but machine learning ain't one!

26. CLASSIFICATION ? A B

27. CLASSIFICATION

28. REGRESSION ? 8 15 7 1 11 13 6 3

29. REGRESSION

30. CLUSTERING

31. CLUSTERING

32. DIMENSIONALITY REDUCTION

33. DIMENSIONALITY REDUCTION

34. DESIGN DECISIONS 1, 2 steps!

35. NORMALIZATION ● min-max ● z-score

36. TRAINING

37. REGULARIZATION

38. RELEVANCE ANALYSIS

39. CROSS VALIDATION

40. ALGORITHMS Cheat sheet included!

41. CHEAT SHEET

42. CHEAT SHEET

43. ALGORITHMS PT. I Linear Regression Decision Trees Random Forest

44. ALGORITHMS PT. II K-Nearest Neighbors K-Means

45. NEURAL NETWORKS

46. SELF-ORGANIZING MAPS

47. PRINCIPAL COMPONENTS ANALYSIS

48. T-SNE

49. EVALUATION How you doin'?

50. PRECISION AND ACCURACY

51. CONFUSION MATRIX Precision = TP Recall = F1-score = 2 * precision * recall precision + recall TP + FP TP TP + FN TP = True Positives TN = True Negatives FP = False Positives FN = False Negatives

52. ROC CURVE

53. A/B TESTS

54. Code Snippets "Hello, Machine Learning"

55. MATLAB 101 [x,y] = ovarian_dataset; net = patternnet(5); [net,tr] = train(net,x,y); testX = x(:,tr.testInd); testY = net(testX);

56. MATLAB 201 net = patternnet(14); net.input.processFcns = {'mapminmax', 'fixunknowns', 'processpca'}; net.inputs{1}.processParams{3}.maxfrac = 0.02; net.trainFcn = 'trainlm'; net.performFcn = 'mse'; net.divideParam.trainRatio = 70/100; net.divideParam.valRatio = 15/100; net.divideParam.testRatio = 15/100; [net, tr] = train(net_config, test_inputs, train_targets); outputs = net(test_inputs);

57. R library(randomForest) raw.orig < - read.csv(file="train.txt", header=T, sep="t") frmla = Metal ~ OTW + AirDecay + Koc fit.rf = randomForest(frmla, data=raw) print(fit.rf) importance(fit.rf)

58. SCIKIT LEARN dataset = pd.read_csv('Data/train.csv') target = dataset.Activity.values train = dataset.drop('Activity', axis=1).values test = pd.read_csv('Data/test.csv').values rf = RandomForestClassifier(n_estimators=100, n_jobs=-1) rf.fit(train, target) predicted_probs = [x[1] for x in rf.predict_proba(test)] importances = rf.feature_importances_

59. PAY-AS-YOU-GO SERVICES Amazon Machine Learning

60. AMAZON MACHINE LEARNING Five easy steps 1. Upload csv dataset to Amazon S3 2. Create Datasource with metadata about uploaded dataset 3. Create ML Model with configurations for model training 4. Create Evaluation to analyse and tune model efficiency 5. Create Prediction to use trained model with new data

61. EVALUATION

62. SDKs

63. DATA SCIENCE COMPETITIONS Challenge accepted!

64. KAGGLE

65. SPONSORED

66. END TO END TRAINTRAIN.CSV TEST.CSV TRAINED.DAT RUN SOLUTION.CSV

67. THANK YOU Questions? Dhiana Deva ddeva@thoughtworks.com