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33:22
Architecture & Design Follow 768 Followers

AI in Finance: From Hype to Marketing and Cybersec Applications

Posted by Natalino Busa  on  Nov 16, 2017 Posted by Natalino Busa Follow 0 Followers  on  Nov 16, 2017

Natalino Busa illustrates a number of use cases of using AI and machine learning techniques in finance, such as transaction fraud prevention and credit authorization.

39:46
Data Science Follow 329 Followers

Julia: A Modern Language for Modern ML

Posted by Simon Byrne  on  Nov 08, 2017 Posted by Simon Byrne Follow 0 Followers , Viral Shah Follow 0 Followers  on  Nov 08, 2017

Simon Byrne and Viral Shah talk about Julia, a modern high-performance, dynamic language for technical computing, with many features which make it ideal for machine learning.

40:42
Data Science Follow 329 Followers

Fighting Online Fraud and Abuse with Large-Scale Machine Learning at Sift Science

Posted by Jacob Burnim  on  Nov 06, 2017 Posted by Jacob Burnim Follow 0 Followers  on  Nov 06, 2017

Jacob Burnim discusses Sift’s approach to building a ML system to detect fraud and abuse, including training models, handling imbalanced classes, sharing learning, measuring performance, etc..

28:52
Data Science Follow 329 Followers

Systems That Learn

Posted by Stephen Buckley  on  Nov 05, 2017 Posted by Stephen Buckley Follow 0 Followers  on  Nov 05, 2017

Stephen Buckley discusses the Systems That Learn initiative which aims to create systems that learn by combining expertise in Systems and Machine Learning.

46:35
Data Science Follow 329 Followers

Primer on Neural Networks

Posted by Chase Aucoin  on  Oct 25, 2017 Posted by Chase Aucoin Follow 0 Followers  on  Oct 25, 2017

Chase Aucoin introduces neural networks with examples and simple breakdowns about the math involved in a way accessible to a large audience.

48:35
Data Science Follow 329 Followers

Online Learning & Custom Decision Services

Posted by Markus Cozowicz  on  Oct 23, 2017 Posted by Markus Cozowicz Follow 0 Followers , John Langford Follow 0 Followers  on  Oct 23, 2017

Markus Cozowicz and John Langford talk about the new system they have created which automates exploit-explore strategies, data gathering, and learning to create useable online interactive learning.

40:26
Data Science Follow 329 Followers

Machine Learning in Academia and Industry

Posted by Deborah Hanus  on  Oct 10, 2017 Posted by Deborah Hanus Follow 1 Followers  on  Oct 10, 2017

Deborah Hanus discusses some of the challenges that can arise when working with data.

41:50
Data Science Follow 329 Followers

Automating Inventory at Stitch Fix

Posted by Sally Langford  on  Oct 05, 2017 Posted by Sally Langford Follow 0 Followers  on  Oct 05, 2017

Sally Langford talks about the use of ML within StitchFix’s inventory forecasting system, the architecture they have developed in-house and their use of Bayesian methods.

39:13
Data Science Follow 329 Followers

Solving Payment Fraud and User Security with ML

Posted by Soups Ranjan  on  Oct 05, 2017 Posted by Soups Ranjan Follow 0 Followers  on  Oct 05, 2017

Soups Ranjan talks about Coinbase’s risk program that relies on machine learning (supervised and unsupervised), rules-based systems as well as highly-skilled human fraud fighters.

44:35
Data Science Follow 329 Followers

Evaluating Machine Learning Models: A Case Study

Posted by Nelson Ray  on  Oct 04, 2017 Posted by Nelson Ray Follow 0 Followers  on  Oct 04, 2017

Nelson Ray talks about on how to estimate the business impact of launching various machine learning models, in particular, those Opendoor uses for modeling the liquidity of houses.

50:42
Data Science Follow 329 Followers

Deep Learning @Google Scale: Smart Reply in Inbox

Posted by Anjuli Kannan  on  Oct 03, 2017 3 Posted by Anjuli Kannan Follow 0 Followers  on  Oct 03, 2017 3

Anjuli Kannan describes the algorithmic, scaling, deployment considerations involved in a an application of cutting-edge deep learning in a user-facing product: the Smart Reply feature of Google Inbox

51:32
Data Science Follow 329 Followers

Semi-Supervised Deep Learning on Large Scale Climate Models

Posted by Prabhat  on  Sep 27, 2017 Posted by Prabhat Follow 0 Followers  on  Sep 27, 2017

Prabhat presents NERSc’s results in applying Deep Learning for supervised and semi-supervised learning of extreme weather patterns, scaling Deep Learning to 9000 KNL nodes on a supercomputer.

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