Data Skeptic
A podcast by Kyle Polich
Categories:
540 Episodes
-
[MINI] Reinforcement Learning
Published: 2/9/2018 -
Evolutionary Computation
Published: 2/2/2018 -
[MINI] Markov Decision Processes
Published: 1/26/2018 -
Neuroscience Frontiers
Published: 1/19/2018 -
Neuroimaging and Big Data
Published: 1/12/2018 -
The Agent Model of Artificial Intelligence
Published: 1/5/2018 -
Artificial Intelligence, a Podcast Approach
Published: 12/29/2017 -
Holiday reading 2017
Published: 12/22/2017 -
Complexity and Cryptography
Published: 12/15/2017 -
Mercedes Benz Machine Learning Research
Published: 12/14/2017 -
[MINI] Parallel Algorithms
Published: 12/8/2017 -
Quantum Computing
Published: 12/1/2017 -
Azure Databricks
Published: 11/28/2017 -
[MINI] Exponential Time Algorithms
Published: 11/24/2017 -
P vs NP
Published: 11/17/2017 -
[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
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.