Personal Information
Organization / Workplace
Dallas/Fort Worth Area United States
Occupation
Professor at The University of Texas at Dallas
Industry
Education
Website
davidlary.info
About
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
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machine learning for scientific applications
optimized system design
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Presentations
(11)Likes
(52)Talk: Joint causal inference on observational and experimental data - NIPS 2016 "What If?" workshop poster
Sara Magliacane
•
6 years ago
Bayesian networks in AI
Byoung-Hee Kim
•
6 years ago
Causal Bayesian Networks
Flávio Codeço Coelho
•
14 years ago
12 Machine Learning Supervised Hidden Markov Chains
Andres Mendez-Vazquez
•
7 years ago
Stock Market Prediction using Hidden Markov Models and Investor sentiment
Patrick Nicolas
•
8 years ago
Hidden Markov Model & Stock Prediction
David Chiu
•
10 years ago
State-of-the-art Clustering Techniques: Support Vector Methods and Minimum Bregman Information Principle
Vincenzo Russo
•
13 years ago
K means Clustering Algorithm
Kasun Ranga Wijeweera
•
10 years ago
Data Clustering with R
Yanchang Zhao
•
9 years ago
Clustering: A Survey
Raffaele Capaldo
•
14 years ago
Iris data analysis example in R
Duyen Do
•
9 years ago
Linear Discrimination Centering on Support Vector Machines
butest
•
13 years ago
Discriminant Analysis-lecture 8
Laila Fatehy
•
11 years ago
Application of Fisher Linear Discriminant Analysis to Speech/Music Classification
Lushanthan Sivaneasharajah
•
7 years ago
Clustering
M Rizwan Aqeel
•
7 years ago
BAS 250 Lecture 8
Wake Tech BAS
•
7 years ago
An Introduction to Supervised Machine Learning and Pattern Classification: The Big Picture
Sebastian Raschka
•
8 years ago
Introduction to conventional machine learning techniques
Xavier Rafael Palou
•
8 years ago
Introduction to Machine Learning Classifiers
Functional Imperative
•
7 years ago
Machine Learning and Data Mining: 10 Introduction to Classification
Pier Luca Lanzi
•
16 years ago
High Dimensional Data Visualization using t-SNE
Kai-Wen Zhao
•
8 years ago
Visualizing Data Using t-SNE
David Khosid
•
7 years ago
Dimensionality Reduction : Above PCA
Manas Gaur
•
6 years ago
4 Dimensionality reduction (PCA & t-SNE)
Dmytro Fishman
•
6 years ago
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Chapter8
Hakky St
•
6 years ago
Introduction to Machine Learning and Deep Learning
Terry Taewoong Um
•
8 years ago
Introduction to Big Data/Machine Learning
Lars Marius Garshol
•
10 years ago
Dr. Erin LeDell, Machine Learning Scientist, H2O.ai at MLconf SEA - 5/20/16
MLconf
•
7 years ago
Introduction to Machine Learning
Lior Rokach
•
11 years ago
New Developments in H2O: April 2017 Edition
Sri Ambati
•
6 years ago
Personal Information
Organization / Workplace
Dallas/Fort Worth Area United States
Occupation
Professor at The University of Texas at Dallas
Industry
Education
Website
davidlary.info
About
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
See more