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 5 de 16

A Technical Deep Dive on Stanley, the First Self-Driving Car 12/08/2019

An Introduction to Stanley, the First Self-Driving Car 05/08/2019

Putting the "science" in data science: the scientific method, the null hypothesis, and p-hacking 29/07/2019

Interleaving 22/07/2019

Federated Learning 14/07/2019

Endogenous Variables and Measuring Protest Effectiveness 07/07/2019

Deepfakes 01/07/2019

Revisiting Biased Word Embeddings 24/06/2019

Attention in Neural Nets 17/06/2019

Interview with Joel Grus 10/06/2019

Re - Release: Factorization Machines 03/06/2019

Re-release: Auto-generating websites with deep learning 27/05/2019

Advice to those trying to get a first job in data science 19/05/2019

Re - Release: Machine Learning Technical Debt 12/05/2019

Estimating Software Projects, and Why It's Hard 05/05/2019

The Black Hole Algorithm 29/04/2019

Structure in AI 21/04/2019

The Great Data Science Specialist vs. Generalist Debate 15/04/2019

Google X, and Taking Risks the Smart Way 08/04/2019

Statistical Significance in Hypothesis Testing 01/04/2019

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