Data Skeptic
Un pódcast de Kyle Polich
Categorías:
553 Episodo
-
[MINI] Recurrent Neural Networks
Publicado: 18/8/2017 -
Project Common Voice
Publicado: 11/8/2017 -
[MINI] Bayesian Belief Networks
Publicado: 4/8/2017 -
pix2code
Publicado: 28/7/2017 -
[MINI] Conditional Independence
Publicado: 21/7/2017 -
Estimating Sheep Pain with Facial Recognition
Publicado: 14/7/2017 -
CosmosDB
Publicado: 7/7/2017 -
[MINI] The Vanishing Gradient
Publicado: 30/6/2017 -
Doctor AI
Publicado: 23/6/2017 -
[MINI] Activation Functions
Publicado: 16/6/2017 -
MS Build 2017
Publicado: 9/6/2017 -
[MINI] Max-pooling
Publicado: 2/6/2017 -
Unsupervised Depth Perception
Publicado: 26/5/2017 -
[MINI] Convolutional Neural Networks
Publicado: 19/5/2017 -
Multi-Agent Diverse Generative Adversarial Networks
Publicado: 12/5/2017 -
[MINI] Generative Adversarial Networks
Publicado: 5/5/2017 -
Opinion Polls for Presidential Elections
Publicado: 28/4/2017 -
OpenHouse
Publicado: 21/4/2017 -
[MINI] GPU CPU
Publicado: 14/4/2017 -
[MINI] Backpropagation
Publicado: 7/4/2017
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.