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 11 de 16

An Introduction to Stanley, the First Self-Driving Car 03/04/2017

Feature Importance 27/03/2017

Space Codes! 20/03/2017

Finding (and Studying) Wikipedia Trolls 13/03/2017

A Sprint Through What's New in Neural Networks 06/03/2017

Stein's Paradox 27/02/2017

Empirical Bayes 20/02/2017

Endogenous Variables and Measuring Protest Effectiveness 13/02/2017

Calibrated Models 06/02/2017

Rock the ROC Curve 30/01/2017

Ensemble Algorithms 23/01/2017

How to evaluate a translation: BLEU scores 16/01/2017

Zero Shot Translation 09/01/2017

Google Neural Machine Translation 02/01/2017

Data and the Future of Medicine : Interview with Precision Medicine Initiative researcher Matt Might 26/12/2016

Special Crossover Episode: Partially Derivative interview with White House Data Scientist DJ Patil 18/12/2016

How to Lose at Kaggle 12/12/2016

Attacking Discrimination in Machine Learning 05/12/2016

Recurrent Neural Nets 28/11/2016

Stealing a PIN with signal processing and machine learning 21/11/2016

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