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 10 de 16

Jupyter Notebooks 21/08/2017

Curing Cancer with Machine Learning is Super Hard 14/08/2017

KL Divergence 07/08/2017

Sabermetrics 31/07/2017

What Data Scientists Can Learn from Software Engineers 24/07/2017

Software Engineering to Data Science 17/07/2017

Re-Release: Fighting Cholera with Data, 1854 10/07/2017

Re-Release: Data Mining Enron 02/07/2017

Factorization Machines 26/06/2017

Anscombe's Quartet 19/06/2017

Traffic Metering Algorithms 12/06/2017

Page Rank 05/06/2017

Fractional Dimensions 29/05/2017

Things You Learn When Building Models for Big Data 22/05/2017

How to Find New Things to Learn 15/05/2017

Federated Learning 08/05/2017

Word2Vec 01/05/2017

Feature Processing for Text Analytics 24/04/2017

Education Analytics 17/04/2017

A Technical Deep Dive on Stanley, the First Self-Driving Car 10/04/2017

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