Data Skeptic
Un podcast de Kyle Polich
Catégories:
549 Épisodes
-
Quantum Computing
Publié: 01/12/2017 -
Azure Databricks
Publié: 28/11/2017 -
[MINI] Exponential Time Algorithms
Publié: 24/11/2017 -
P vs NP
Publié: 17/11/2017 -
[MINI] Sudoku \in NP
Publié: 10/11/2017 -
The Computational Complexity of Machine Learning
Publié: 03/11/2017 -
[MINI] Turing Machines
Publié: 27/10/2017 -
The Complexity of Learning Neural Networks
Publié: 20/10/2017 -
[MINI] Big Oh Analysis
Publié: 13/10/2017 -
Data science tools and other announcements from Ignite
Publié: 06/10/2017 -
Generative AI for Content Creation
Publié: 29/09/2017 -
[MINI] One Shot Learning
Publié: 22/09/2017 -
Recommender Systems Live from FARCON 2017
Publié: 15/09/2017 -
[MINI] Long Short Term Memory
Publié: 08/09/2017 -
Zillow Zestimate
Publié: 01/09/2017 -
Cardiologist Level Arrhythmia Detection with CNNs
Publié: 25/08/2017 -
[MINI] Recurrent Neural Networks
Publié: 18/08/2017 -
Project Common Voice
Publié: 11/08/2017 -
[MINI] Bayesian Belief Networks
Publié: 04/08/2017 -
pix2code
Publié: 28/07/2017
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.