Linear Digressions
Un pódcast de Ben Jaffe and Katie Malone
Categorías:
289 Episodo
-
Interview with Joel Grus
Publicado: 10/6/2019 -
Re - Release: Factorization Machines
Publicado: 3/6/2019 -
Re-release: Auto-generating websites with deep learning
Publicado: 27/5/2019 -
Advice to those trying to get a first job in data science
Publicado: 19/5/2019 -
Re - Release: Machine Learning Technical Debt
Publicado: 12/5/2019 -
Estimating Software Projects, and Why It's Hard
Publicado: 5/5/2019 -
The Black Hole Algorithm
Publicado: 29/4/2019 -
Structure in AI
Publicado: 21/4/2019 -
The Great Data Science Specialist vs. Generalist Debate
Publicado: 15/4/2019 -
Google X, and Taking Risks the Smart Way
Publicado: 8/4/2019 -
Statistical Significance in Hypothesis Testing
Publicado: 1/4/2019 -
The Language Model Too Dangerous to Release
Publicado: 25/3/2019 -
The cathedral and the bazaar
Publicado: 17/3/2019 -
AlphaStar
Publicado: 11/3/2019 -
Are machine learning engineers the new data scientists?
Publicado: 4/3/2019 -
Interview with Alex Radovic, particle physicist turned machine learning researcher
Publicado: 25/2/2019 -
K Nearest Neighbors
Publicado: 17/2/2019 -
Not every deep learning paper is great. Is that a problem?
Publicado: 11/2/2019 -
The Assumptions of Ordinary Least Squares
Publicado: 3/2/2019 -
Quantile Regression
Publicado: 28/1/2019
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.