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48:00

Dino DNA! Health Identity from the Wrist @Jawbone

Posted by Brian Wilt  on  Jan 24, 2016

Brian Wilt discusses how applied machine learning techniques and data science helped Jawbone build a successful fitness tracking app.

50:53

Takes a Village to Raise a Machine Learning Model

Posted by Lucian Vlad Lita  on  Jan 16, 2016

Lucian Vlad Lita focuses on the next step in personalization: well-designed software architectures for storing, computing, and delivering responsive, accurate in-product predictions and experiments.

49:07

The Lego Model for Machine Learning Pipelines

Posted by Leah McGuire  on  Jan 16, 2016

Leah McGuire describes the machine learning platform Salesforce wrote on top of Spark to modularize data cleaning and feature engineering.

47:29

Machine Learning and IoT

Posted by Ajit Jaokar  on  Aug 29, 2015

Ajit Jaokar discusses data science and IoT: sensor data, real-time processing, cognitive computing, integration of IoT analytics with hardware, IoT’s impact on healthcare, automotive, wearables, etc.

33:45

Mini-talks: Machine Intelligence, Algorithms for Anti-Money Laundering, Blockchain

Posted by David Beyer, Olaf Carlson-Wee, Richard Minerich  on  Aug 02, 2015

Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective. The future of global, trustless transactions on the largest graph: blockchain. Algorithms for Anti-Money Laundering

01:00:21

The Deep Learning Revolution: Rethinking Machine Learning Pipelines

Posted by Soumith Chintala  on  Jun 05, 2015

Soumith Chintala introduces deep learning, what it is, why it has become popular, and how it can be fitted into existing machine learning solutions.

01:29:34

Become a Data-driven Organization with Machine Learning

Posted by Peter Harrington  on  Mar 08, 2015

Peter Harrington explains what you do with machine learning, and what are the building blocks for an application that uses machine learning from collected data to creating predictions for customers.

33:28

Machine Learning for Programming

Posted by Peter Norvig  on  Mar 06, 2015 1

Peter Norvig keynotes on using machine learning techniques to solve more general software problems, helping both the advanced programmer and the novice one.

50:03

My Three Ex’s: A Data Science Approach for Applied Machine Learning

Posted by Daniel Tunkelang  on  Dec 05, 2014

Daniel Tunkelang focuses on the data science mindset for successfully applying machine learning to solve problems: express, explain, experiment.

47:47

Weathering the Data Storm

Posted by Claudia Perlich  on  Nov 21, 2014

Claudia Perlich discusses privacy-preserving representations, robust high-dimensional modeling, large-scale automated learning systems, transfer learning, and fraud detection.

01:04:10

Practical Machine Learning

Posted by Seth Juarez  on  Oct 11, 2014 2

Seth Juarez introduces the nuML machine learning library, addressing the clustering issue in .NET applications by focusing on recommendation engines and anomaly detection.

43:56

Machine Learning at Netflix Scale

Posted by Aish Fenton  on  Oct 07, 2014 4

Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.

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