Linear Digressions

Por: Katie Malone

Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. 896520

320 episodios disponibles

Latest episodes of the podcast Linear Digressions

Mostrando página 13 de 16

Differential Privacy: how to study people without being weird and gross 27/06/2016

How the sausage gets made 20/06/2016

SMOTE: makin' yourself some fake minority data 13/06/2016

Conjoint Analysis: like AB testing, but on steroids 06/06/2016

Traffic Metering Algorithms 30/05/2016

Um Detector 2: The Dynamic Time Warp 23/05/2016

Inside a Data Analysis: Fraud Hunting at Enron 16/05/2016

What's the biggest #bigdata? 09/05/2016

Data Contamination 02/05/2016

Model Interpretation (and Trust Issues) 25/04/2016

Updates! Political Science Fraud and AlphaGo 18/04/2016

Ecological Inference and Simpson's Paradox 11/04/2016

Discriminatory Algorithms 04/04/2016

Recommendation Engines and Privacy 28/03/2016

Neural nets play cops and robbers (AKA generative adverserial networks) 21/03/2016

A Data Scientist's View of the Fight against Cancer 14/03/2016

Congress Bots and DeepDrumpf 11/03/2016

Multi - Armed Bandits 07/03/2016

Experiments and Messy, Tricky Causality 04/03/2016

Backpropagation 29/02/2016

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