Data Skeptic
A podcast by Kyle Polich

Categories:
571 Episodes
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[MINI] Bayesian Belief Networks
Published: 4/08/2017 -
pix2code
Published: 28/07/2017 -
[MINI] Conditional Independence
Published: 21/07/2017 -
Estimating Sheep Pain with Facial Recognition
Published: 14/07/2017 -
CosmosDB
Published: 7/07/2017 -
[MINI] The Vanishing Gradient
Published: 30/06/2017 -
Doctor AI
Published: 23/06/2017 -
[MINI] Activation Functions
Published: 16/06/2017 -
MS Build 2017
Published: 9/06/2017 -
[MINI] Max-pooling
Published: 2/06/2017 -
Unsupervised Depth Perception
Published: 26/05/2017 -
[MINI] Convolutional Neural Networks
Published: 19/05/2017 -
Multi-Agent Diverse Generative Adversarial Networks
Published: 12/05/2017 -
[MINI] Generative Adversarial Networks
Published: 5/05/2017 -
Opinion Polls for Presidential Elections
Published: 28/04/2017 -
OpenHouse
Published: 21/04/2017 -
[MINI] GPU CPU
Published: 14/04/2017 -
[MINI] Backpropagation
Published: 7/04/2017 -
Data Science at Patreon
Published: 31/03/2017 -
[MINI] Feed Forward Neural Networks
Published: 24/03/2017
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.