Personal Information
Entreprise/Lieu de travail
Dallas/Fort Worth Area United States
Profession
Professor at The University of Texas at Dallas
Secteur d’activité
Education
Site Web
davidlary.info
À propos
Applied Physics Data Scientist | BigData | Machine Learning | Smart Cities | Remote Sensing | Health Applications | Unmanned Aerial Vehicles | IoT
Mots-clés
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
Tout plus
Présentations
(11)J’aime
(52)Talk: Joint causal inference on observational and experimental data - NIPS 2016 "What If?" workshop poster
Sara Magliacane
•
il y a 7 ans
Bayesian networks in AI
Byoung-Hee Kim
•
il y a 7 ans
Causal Bayesian Networks
Flávio Codeço Coelho
•
il y a 15 ans
12 Machine Learning Supervised Hidden Markov Chains
Andres Mendez-Vazquez
•
il y a 8 ans
Stock Market Prediction using Hidden Markov Models and Investor sentiment
Patrick Nicolas
•
il y a 8 ans
Hidden Markov Model & Stock Prediction
David Chiu
•
il y a 11 ans
State-of-the-art Clustering Techniques: Support Vector Methods and Minimum Bregman Information Principle
Vincenzo Russo
•
il y a 14 ans
K means Clustering Algorithm
Kasun Ranga Wijeweera
•
il y a 11 ans
Data Clustering with R
Yanchang Zhao
•
il y a 9 ans
Clustering: A Survey
Raffaele Capaldo
•
il y a 15 ans
Iris data analysis example in R
Duyen Do
•
il y a 9 ans
Linear Discrimination Centering on Support Vector Machines
butest
•
il y a 14 ans
Discriminant Analysis-lecture 8
Laila Fatehy
•
il y a 12 ans
Application of Fisher Linear Discriminant Analysis to Speech/Music Classification
Lushanthan Sivaneasharajah
•
il y a 8 ans
Clustering
M Rizwan Aqeel
•
il y a 8 ans
BAS 250 Lecture 8
Wake Tech BAS
•
il y a 7 ans
An Introduction to Supervised Machine Learning and Pattern Classification: The Big Picture
Sebastian Raschka
•
il y a 9 ans
Introduction to conventional machine learning techniques
Xavier Rafael Palou
•
il y a 9 ans
Introduction to Machine Learning Classifiers
Functional Imperative
•
il y a 7 ans
Machine Learning and Data Mining: 10 Introduction to Classification
Pier Luca Lanzi
•
il y a 17 ans
High Dimensional Data Visualization using t-SNE
Kai-Wen Zhao
•
il y a 9 ans
Visualizing Data Using t-SNE
David Khosid
•
il y a 8 ans
Dimensionality Reduction : Above PCA
Manas Gaur
•
il y a 6 ans
4 Dimensionality reduction (PCA & t-SNE)
Dmytro Fishman
•
il y a 6 ans
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Chapter8
Hakky St
•
il y a 6 ans
Introduction to Machine Learning and Deep Learning
Terry Taewoong Um
•
il y a 8 ans
Introduction to Big Data/Machine Learning
Lars Marius Garshol
•
il y a 10 ans
Dr. Erin LeDell, Machine Learning Scientist, H2O.ai at MLconf SEA - 5/20/16
MLconf
•
il y a 7 ans
Introduction to Machine Learning
Lior Rokach
•
il y a 11 ans
New Developments in H2O: April 2017 Edition
Sri Ambati
•
il y a 7 ans
Personal Information
Entreprise/Lieu de travail
Dallas/Fort Worth Area United States
Profession
Professor at The University of Texas at Dallas
Secteur d’activité
Education
Site Web
davidlary.info
À propos
Applied Physics Data Scientist | BigData | Machine Learning | Smart Cities | Remote Sensing | Health Applications | Unmanned Aerial Vehicles | IoT
Mots-clés
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
Tout plus