01:00:50
Interpretable Representation Learning for Visual Intelligence – Bolei Zhou of MIT
01:15:35
IBM Watson AI for Enterprise - Sophie V. Vandebroek and Ruchir Puri
45:49
Partially Trained Networks and Early Stopping - Bowen Baker
57:46
Automated Machine Learning - Nicolo Fusi of Microsoft Research
44:29
Apache Spark Pipeline for Game Data Processing - Nick Afshartous of WB Analytics
01:18:00
Tensorflow on AWS - Alex Coventry
55:36
NSFW Modeling with ConvNets - Ryan Compton of Clarifai
01:30:41
Streaming Stock Market Data with Apache Spark and Kafka
01:12:39
Decision Trees in Apache Spark - Joe Kambourakis of IBM
58:52
Alex Wiltschko - Automatic Differentiation, the algorithm behind all deep nets
01:00:51
IBM Streaming Analytics and Python
54:36
TensorFlow in Practice
01:05:55
High Dimensional Functional Learning - Jason Klusowski
01:20:19
AI - THE NEXT FRONTIER FOR HPC - Bob Crovella of NVIDIA
01:07:47
Max Kuhn presents Rules, Rules, Rules! From Trees to Rules in Machine Learning
37:58
Bayes Theorem and German Tanks - Allen B. Downey
01:21:39
Making R run Fast - Jan Vitek
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Data Science meetings recorded in Greater Boston
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