Data Skeptic
Un pódcast de Kyle Polich
Categorías:
553 Episodo
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[MINI] k-d trees
Publicado: 5/2/2016 -
Auditing Algorithms
Publicado: 29/1/2016 -
[MINI] The Bonferroni Correction
Publicado: 22/1/2016 -
Detecting Pseudo-profound BS
Publicado: 15/1/2016 -
[MINI] Gradient Descent
Publicado: 8/1/2016 -
Let's Kill the Word Cloud
Publicado: 1/1/2016 -
2015 Holiday Special
Publicado: 25/12/2015 -
Wikipedia Revision Scoring as a Service
Publicado: 18/12/2015 -
[MINI] Term Frequency - Inverse Document Frequency
Publicado: 11/12/2015 -
The Hunt for Vulcan
Publicado: 4/12/2015 -
[MINI] The Accuracy Paradox
Publicado: 27/11/2015 -
Neuroscience from a Data Scientist's Perspective
Publicado: 20/11/2015 -
[MINI] Bias Variance Tradeoff
Publicado: 13/11/2015 -
Big Data Doesn't Exist
Publicado: 6/11/2015 -
[MINI] Covariance and Correlation
Publicado: 30/10/2015 -
Bayesian A/B Testing
Publicado: 23/10/2015 -
[MINI] The Central Limit Theorem
Publicado: 16/10/2015 -
Accessible Technology
Publicado: 9/10/2015 -
[MINI] Multi-armed Bandit Problems
Publicado: 2/10/2015 -
Shakespeare, Abiogenesis, and Exoplanets
Publicado: 25/9/2015
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.