Data Skeptic
En podkast av Kyle Polich
571 Episoder
-
[MINI] Bayesian Belief Networks
Publisert: 4.8.2017 -
pix2code
Publisert: 28.7.2017 -
[MINI] Conditional Independence
Publisert: 21.7.2017 -
Estimating Sheep Pain with Facial Recognition
Publisert: 14.7.2017 -
CosmosDB
Publisert: 7.7.2017 -
[MINI] The Vanishing Gradient
Publisert: 30.6.2017 -
Doctor AI
Publisert: 23.6.2017 -
[MINI] Activation Functions
Publisert: 16.6.2017 -
MS Build 2017
Publisert: 9.6.2017 -
[MINI] Max-pooling
Publisert: 2.6.2017 -
Unsupervised Depth Perception
Publisert: 26.5.2017 -
[MINI] Convolutional Neural Networks
Publisert: 19.5.2017 -
Multi-Agent Diverse Generative Adversarial Networks
Publisert: 12.5.2017 -
[MINI] Generative Adversarial Networks
Publisert: 5.5.2017 -
Opinion Polls for Presidential Elections
Publisert: 28.4.2017 -
OpenHouse
Publisert: 21.4.2017 -
[MINI] GPU CPU
Publisert: 14.4.2017 -
[MINI] Backpropagation
Publisert: 7.4.2017 -
Data Science at Patreon
Publisert: 31.3.2017 -
[MINI] Feed Forward Neural Networks
Publisert: 24.3.2017
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.