Linear Digressions
Un pódcast de Ben Jaffe and Katie Malone
Categorías:
289 Episodo
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Google Flu Trends
Publicado: 26/3/2018 -
How to pick projects for a professional data science team
Publicado: 19/3/2018 -
Autoencoders
Publicado: 12/3/2018 -
When Private Data Isn't Private Anymore
Publicado: 5/3/2018 -
What makes a machine learning algorithm "superhuman"?
Publicado: 26/2/2018 -
Open Data and Open Science
Publicado: 19/2/2018 -
Defining the quality of a machine learning production system
Publicado: 12/2/2018 -
Auto-generating websites with deep learning
Publicado: 4/2/2018 -
The Case for Learned Index Structures, Part 2: Hash Maps and Bloom Filters
Publicado: 29/1/2018 -
The Case for Learned Index Structures, Part 1: B-Trees
Publicado: 22/1/2018 -
Challenges with Using Machine Learning to Classify Chest X-Rays
Publicado: 15/1/2018 -
The Fourier Transform
Publicado: 8/1/2018 -
Statistics of Beer
Publicado: 2/1/2018 -
Re - Release: Random Kanye
Publicado: 24/12/2017 -
Debiasing Word Embeddings
Publicado: 18/12/2017 -
The Kernel Trick and Support Vector Machines
Publicado: 11/12/2017 -
Maximal Margin Classifiers
Publicado: 4/12/2017 -
Re - Release: The Cocktail Party Problem
Publicado: 27/11/2017 -
Clustering with DBSCAN
Publicado: 20/11/2017 -
The Kaggle Survey on Data Science
Publicado: 13/11/2017
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.