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Professor at The University of Texas at Dallas
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Applied Physics Data Scientist | BigData | Machine Learning | Smart Cities | Remote Sensing | Health Applications | Unmanned Aerial Vehicles | IoT
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machine learning
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societal benefit
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Präsentationen
(11)Gefällt mir
(52)Talk: Joint causal inference on observational and experimental data - NIPS 2016 "What If?" workshop poster
Sara Magliacane
•
Vor 7 Jahren
Bayesian networks in AI
Byoung-Hee Kim
•
Vor 7 Jahren
Causal Bayesian Networks
Flávio Codeço Coelho
•
Vor 15 Jahren
12 Machine Learning Supervised Hidden Markov Chains
Andres Mendez-Vazquez
•
Vor 8 Jahren
Stock Market Prediction using Hidden Markov Models and Investor sentiment
Patrick Nicolas
•
Vor 8 Jahren
Hidden Markov Model & Stock Prediction
David Chiu
•
Vor 11 Jahren
State-of-the-art Clustering Techniques: Support Vector Methods and Minimum Bregman Information Principle
Vincenzo Russo
•
Vor 14 Jahren
K means Clustering Algorithm
Kasun Ranga Wijeweera
•
Vor 11 Jahren
Data Clustering with R
Yanchang Zhao
•
Vor 9 Jahren
Clustering: A Survey
Raffaele Capaldo
•
Vor 15 Jahren
Iris data analysis example in R
Duyen Do
•
Vor 9 Jahren
Linear Discrimination Centering on Support Vector Machines
butest
•
Vor 14 Jahren
Discriminant Analysis-lecture 8
Laila Fatehy
•
Vor 11 Jahren
Application of Fisher Linear Discriminant Analysis to Speech/Music Classification
Lushanthan Sivaneasharajah
•
Vor 8 Jahren
Clustering
M Rizwan Aqeel
•
Vor 8 Jahren
BAS 250 Lecture 8
Wake Tech BAS
•
Vor 7 Jahren
An Introduction to Supervised Machine Learning and Pattern Classification: The Big Picture
Sebastian Raschka
•
Vor 9 Jahren
Introduction to conventional machine learning techniques
Xavier Rafael Palou
•
Vor 9 Jahren
Introduction to Machine Learning Classifiers
Functional Imperative
•
Vor 7 Jahren
Machine Learning and Data Mining: 10 Introduction to Classification
Pier Luca Lanzi
•
Vor 17 Jahren
High Dimensional Data Visualization using t-SNE
Kai-Wen Zhao
•
Vor 9 Jahren
Visualizing Data Using t-SNE
David Khosid
•
Vor 8 Jahren
Dimensionality Reduction : Above PCA
Manas Gaur
•
Vor 6 Jahren
4 Dimensionality reduction (PCA & t-SNE)
Dmytro Fishman
•
Vor 6 Jahren
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Chapter8
Hakky St
•
Vor 6 Jahren
Introduction to Machine Learning and Deep Learning
Terry Taewoong Um
•
Vor 8 Jahren
Introduction to Big Data/Machine Learning
Lars Marius Garshol
•
Vor 10 Jahren
Dr. Erin LeDell, Machine Learning Scientist, H2O.ai at MLconf SEA - 5/20/16
MLconf
•
Vor 7 Jahren
Introduction to Machine Learning
Lior Rokach
•
Vor 11 Jahren
New Developments in H2O: April 2017 Edition
Sri Ambati
•
Vor 7 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Dallas/Fort Worth Area United States
Beruf
Professor at The University of Texas at Dallas
Branche
Education
Webseite
davidlary.info
Info
Applied Physics Data Scientist | BigData | Machine Learning | Smart Cities | Remote Sensing | Health Applications | Unmanned Aerial Vehicles | IoT
Tags
machine learning
remote sensing
big data
waacci
aerial vehicles
iot
societal benefit
economic impact
sub saharan africa
tropical and infectious diseases
nigeria
business
pathogen
pm2.5
air quality
health
water
geni
us ignite
health effects
machine learning for scientific applications
optimized system design
next generation of cloud computing
Mehr anzeigen