Data Skeptic
A podcast by Kyle Polich

Categories:
565 Episodes
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[MINI] Sudoku \in NP
Published: 11/10/2017 -
The Computational Complexity of Machine Learning
Published: 11/3/2017 -
[MINI] Turing Machines
Published: 10/27/2017 -
The Complexity of Learning Neural Networks
Published: 10/20/2017 -
[MINI] Big Oh Analysis
Published: 10/13/2017 -
Data science tools and other announcements from Ignite
Published: 10/6/2017 -
Generative AI for Content Creation
Published: 9/29/2017 -
[MINI] One Shot Learning
Published: 9/22/2017 -
Recommender Systems Live from FARCON 2017
Published: 9/15/2017 -
[MINI] Long Short Term Memory
Published: 9/8/2017 -
Zillow Zestimate
Published: 9/1/2017 -
Cardiologist Level Arrhythmia Detection with CNNs
Published: 8/25/2017 -
[MINI] Recurrent Neural Networks
Published: 8/18/2017 -
Project Common Voice
Published: 8/11/2017 -
[MINI] Bayesian Belief Networks
Published: 8/4/2017 -
pix2code
Published: 7/28/2017 -
[MINI] Conditional Independence
Published: 7/21/2017 -
Estimating Sheep Pain with Facial Recognition
Published: 7/14/2017 -
CosmosDB
Published: 7/7/2017 -
[MINI] The Vanishing Gradient
Published: 6/30/2017
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.