Data Skeptic
A podcast by Kyle Polich
Categories:
540 Episodes
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[MINI] Convolutional Neural Networks
Published: 5/19/2017 -
Multi-Agent Diverse Generative Adversarial Networks
Published: 5/12/2017 -
[MINI] Generative Adversarial Networks
Published: 5/5/2017 -
Opinion Polls for Presidential Elections
Published: 4/28/2017 -
OpenHouse
Published: 4/21/2017 -
[MINI] GPU CPU
Published: 4/14/2017 -
[MINI] Backpropagation
Published: 4/7/2017 -
Data Science at Patreon
Published: 3/31/2017 -
[MINI] Feed Forward Neural Networks
Published: 3/24/2017 -
Reinventing Sponsored Search Auctions
Published: 3/17/2017 -
[MINI] The Perceptron
Published: 3/10/2017 -
The Data Refuge Project
Published: 3/3/2017 -
[MINI] Automated Feature Engineering
Published: 2/24/2017 -
Big Data Tools and Trends
Published: 2/17/2017 -
[MINI] Primer on Deep Learning
Published: 2/10/2017 -
Data Provenance and Reproducibility with Pachyderm
Published: 2/3/2017 -
[MINI] Logistic Regression on Audio Data
Published: 1/27/2017 -
Studying Competition and Gender Through Chess
Published: 1/20/2017 -
[MINI] Dropout
Published: 1/13/2017 -
The Police Data and the Data Driven Justice Initiatives
Published: 1/6/2017
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.