Data Skeptic
Un podcast de Kyle Polich
Catégories:
549 Épisodes
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[MINI] Gradient Descent
Publié: 08/01/2016 -
Let's Kill the Word Cloud
Publié: 01/01/2016 -
2015 Holiday Special
Publié: 25/12/2015 -
Wikipedia Revision Scoring as a Service
Publié: 18/12/2015 -
[MINI] Term Frequency - Inverse Document Frequency
Publié: 11/12/2015 -
The Hunt for Vulcan
Publié: 04/12/2015 -
[MINI] The Accuracy Paradox
Publié: 27/11/2015 -
Neuroscience from a Data Scientist's Perspective
Publié: 20/11/2015 -
[MINI] Bias Variance Tradeoff
Publié: 13/11/2015 -
Big Data Doesn't Exist
Publié: 06/11/2015 -
[MINI] Covariance and Correlation
Publié: 30/10/2015 -
Bayesian A/B Testing
Publié: 23/10/2015 -
[MINI] The Central Limit Theorem
Publié: 16/10/2015 -
Accessible Technology
Publié: 09/10/2015 -
[MINI] Multi-armed Bandit Problems
Publié: 02/10/2015 -
Shakespeare, Abiogenesis, and Exoplanets
Publié: 25/09/2015 -
[MINI] Sample Sizes
Publié: 18/09/2015 -
The Model Complexity Myth
Publié: 11/09/2015 -
[MINI] Distance Measures
Publié: 04/09/2015 -
ContentMine
Publié: 28/08/2015
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.