Data Skeptic
En podcast av Kyle Polich
592 Avsnitt
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Complexity and Cryptography
Publicerades: 2017-12-15 -
Mercedes Benz Machine Learning Research
Publicerades: 2017-12-14 -
[MINI] Parallel Algorithms
Publicerades: 2017-12-08 -
Quantum Computing
Publicerades: 2017-12-01 -
Azure Databricks
Publicerades: 2017-11-28 -
[MINI] Exponential Time Algorithms
Publicerades: 2017-11-24 -
P vs NP
Publicerades: 2017-11-17 -
[MINI] Sudoku \in NP
Publicerades: 2017-11-10 -
The Computational Complexity of Machine Learning
Publicerades: 2017-11-03 -
[MINI] Turing Machines
Publicerades: 2017-10-27 -
The Complexity of Learning Neural Networks
Publicerades: 2017-10-20 -
[MINI] Big Oh Analysis
Publicerades: 2017-10-13 -
Data science tools and other announcements from Ignite
Publicerades: 2017-10-06 -
Generative AI for Content Creation
Publicerades: 2017-09-29 -
[MINI] One Shot Learning
Publicerades: 2017-09-22 -
Recommender Systems Live from FARCON 2017
Publicerades: 2017-09-15 -
[MINI] Long Short Term Memory
Publicerades: 2017-09-08 -
Zillow Zestimate
Publicerades: 2017-09-01 -
Cardiologist Level Arrhythmia Detection with CNNs
Publicerades: 2017-08-25 -
[MINI] Recurrent Neural Networks
Publicerades: 2017-08-18
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.
