Data Skeptic
A podcast by Kyle Polich
571 Episoade
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[MINI] Bayesian Belief Networks
Publicat: 04.08.2017 -
pix2code
Publicat: 28.07.2017 -
[MINI] Conditional Independence
Publicat: 21.07.2017 -
Estimating Sheep Pain with Facial Recognition
Publicat: 14.07.2017 -
CosmosDB
Publicat: 07.07.2017 -
[MINI] The Vanishing Gradient
Publicat: 30.06.2017 -
Doctor AI
Publicat: 23.06.2017 -
[MINI] Activation Functions
Publicat: 16.06.2017 -
MS Build 2017
Publicat: 09.06.2017 -
[MINI] Max-pooling
Publicat: 02.06.2017 -
Unsupervised Depth Perception
Publicat: 26.05.2017 -
[MINI] Convolutional Neural Networks
Publicat: 19.05.2017 -
Multi-Agent Diverse Generative Adversarial Networks
Publicat: 12.05.2017 -
[MINI] Generative Adversarial Networks
Publicat: 05.05.2017 -
Opinion Polls for Presidential Elections
Publicat: 28.04.2017 -
OpenHouse
Publicat: 21.04.2017 -
[MINI] GPU CPU
Publicat: 14.04.2017 -
[MINI] Backpropagation
Publicat: 07.04.2017 -
Data Science at Patreon
Publicat: 31.03.2017 -
[MINI] Feed Forward Neural Networks
Publicat: 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.