Linear Digressions
En podcast af Ben Jaffe and Katie Malone
Kategorier:
289 Episoder
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Interview with Joel Grus
Udgivet: 10.6.2019 -
Re - Release: Factorization Machines
Udgivet: 3.6.2019 -
Re-release: Auto-generating websites with deep learning
Udgivet: 27.5.2019 -
Advice to those trying to get a first job in data science
Udgivet: 19.5.2019 -
Re - Release: Machine Learning Technical Debt
Udgivet: 12.5.2019 -
Estimating Software Projects, and Why It's Hard
Udgivet: 5.5.2019 -
The Black Hole Algorithm
Udgivet: 29.4.2019 -
Structure in AI
Udgivet: 21.4.2019 -
The Great Data Science Specialist vs. Generalist Debate
Udgivet: 15.4.2019 -
Google X, and Taking Risks the Smart Way
Udgivet: 8.4.2019 -
Statistical Significance in Hypothesis Testing
Udgivet: 1.4.2019 -
The Language Model Too Dangerous to Release
Udgivet: 25.3.2019 -
The cathedral and the bazaar
Udgivet: 17.3.2019 -
AlphaStar
Udgivet: 11.3.2019 -
Are machine learning engineers the new data scientists?
Udgivet: 4.3.2019 -
Interview with Alex Radovic, particle physicist turned machine learning researcher
Udgivet: 25.2.2019 -
K Nearest Neighbors
Udgivet: 17.2.2019 -
Not every deep learning paper is great. Is that a problem?
Udgivet: 11.2.2019 -
The Assumptions of Ordinary Least Squares
Udgivet: 3.2.2019 -
Quantile Regression
Udgivet: 28.1.2019
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.