Data Skeptic
Un podcast de Kyle Polich
Catégories:
549 Épisodes
-
[MINI] Conditional Independence
Publié: 21/07/2017 -
Estimating Sheep Pain with Facial Recognition
Publié: 14/07/2017 -
CosmosDB
Publié: 07/07/2017 -
[MINI] The Vanishing Gradient
Publié: 30/06/2017 -
Doctor AI
Publié: 23/06/2017 -
[MINI] Activation Functions
Publié: 16/06/2017 -
MS Build 2017
Publié: 09/06/2017 -
[MINI] Max-pooling
Publié: 02/06/2017 -
Unsupervised Depth Perception
Publié: 26/05/2017 -
[MINI] Convolutional Neural Networks
Publié: 19/05/2017 -
Multi-Agent Diverse Generative Adversarial Networks
Publié: 12/05/2017 -
[MINI] Generative Adversarial Networks
Publié: 05/05/2017 -
Opinion Polls for Presidential Elections
Publié: 28/04/2017 -
OpenHouse
Publié: 21/04/2017 -
[MINI] GPU CPU
Publié: 14/04/2017 -
[MINI] Backpropagation
Publié: 07/04/2017 -
Data Science at Patreon
Publié: 31/03/2017 -
[MINI] Feed Forward Neural Networks
Publié: 24/03/2017 -
Reinventing Sponsored Search Auctions
Publié: 17/03/2017 -
[MINI] The Perceptron
Publié: 10/03/2017
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.