Sanghamitra Deb
18 SlideShares 8 Followers
Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Ph.D. Data Scientist
Branche
Education
Webseite
http://www.physics.drexel.edu/~deb/
Info
I believe in data driven decision making. My goals are to generate business insights and design ideas using insights gleaned from data. I work on different aspects of machine learning ranging from time-series modeling, anomaly detection, data sampling, simulations to semantic modeling, topic molding, NLP, and data mapping. I enjoy telling data stories using powerful interactive visualizations.
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#machinelearning #deeplearning data science nlp machine learning #datascience #product #nlp #ai #metrics #application #classification #computervision #data #textprocessing #recommendationsystems #transferlearning healthcare #ai #llm #nlp #engineering #mlops #promptrngineering #featureengineering #multimodal #llm #yolo #tutorial #ranking #objectdetection #recsys2020 #neuralnetwork #logisticregression #regression #algorithm #education #weaksupervision embeddings product deep learning fraud detection education pharma big data job search skills database python
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(18)
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Understanding Product Attributes from Reviews

Vor 8 Jahren • 854 Aufrufe

From Rocket Science to Data Science

Vor 8 Jahren • 644 Aufrufe

Extracting medical attributes and finding relations

Vor 7 Jahren • 348 Aufrufe

Extracting knowledgebase from text

Vor 7 Jahren • 698 Aufrufe

Data day2017

Vor 7 Jahren • 506 Aufrufe

Natural Language Comprehension: Human Machine Collaboration.

Vor 6 Jahren • 369 Aufrufe

Democratizing NLP content modeling with transfer learning using GPUs

Vor 5 Jahren • 584 Aufrufe

NLP and Machine Learning for non-experts

Vor 4 Jahren • 263 Aufrufe

Introduction to machine learning

Vor 3 Jahren • 518 Aufrufe

NLP and Deep Learning for non_experts

Vor 3 Jahren • 299 Aufrufe

Developing Recommendation System to provide a Personalized Learning experience at Chegg

Vor 3 Jahren • 399 Aufrufe

NLP Classifier Models & Metrics

Vor 3 Jahren • 1531 Aufrufe

Computer Vision for Beginners

Vor 2 Jahren • 213 Aufrufe

Intro to ml_2021

Vor 2 Jahren • 102 Aufrufe

Intro to NLP: Text Categorization and Topic Modeling

Vor 2 Jahren • 302 Aufrufe

Computer Vision Landscape : Present and Future

Vor 1 Jahr • 72 Aufrufe

Multi-modal sources for predictive modeling using deep learning

Vor 11 Monaten • 51 Aufrufe

odsc_2023.pdf

Vor 3 Monaten • 10 Aufrufe

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(3)

Meghana Ravikumar - Optimized Image Classification on the Cheap

MLconf • Vor 4 Jahren

Deeper Things: How Netflix Leverages Deep Learning in Recommendations and Search

Sudeep Das, Ph.D. • Vor 5 Jahren

Measuring Search Engine Quality using Spark and Python

Sujit Pal • Vor 8 Jahren
Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Ph.D. Data Scientist
Branche
Education
Webseite
http://www.physics.drexel.edu/~deb/
Info
I believe in data driven decision making. My goals are to generate business insights and design ideas using insights gleaned from data. I work on different aspects of machine learning ranging from time-series modeling, anomaly detection, data sampling, simulations to semantic modeling, topic molding, NLP, and data mapping. I enjoy telling data stories using powerful interactive visualizations.
Tags
#machinelearning #deeplearning data science nlp machine learning #datascience #product #nlp #ai #metrics #application #classification #computervision #data #textprocessing #recommendationsystems #transferlearning healthcare #ai #llm #nlp #engineering #mlops #promptrngineering #featureengineering #multimodal #llm #yolo #tutorial #ranking #objectdetection #recsys2020 #neuralnetwork #logisticregression #regression #algorithm #education #weaksupervision embeddings product deep learning fraud detection education pharma big data job search skills database python
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