Data Skeptic

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.

https://dataskeptic.com

Eine durchschnittliche Folge dieses Podcasts dauert 31m. Bisher sind 530 Folge(n) erschienen. Dieser Podcast erscheint wöchentlich.

Gesamtlänge aller Episoden: 11 days 3 hours 4 minutes

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 December 1, 2017  47m
 
 

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[MINI] Exponential Time Algorithms


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 November 24, 2017  15m
 
 

P vs NP


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 November 17, 2017  38m
 
 

[MINI] Sudoku \in NP


Algorithms with similar runtimes are said to be in the same complexity class. That runtime is measured in the how many steps an algorithm takes relative to the input size. The class P contains all algorithms which run in polynomial time (basically, a...


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 November 10, 2017  18m
 
 

The Computational Complexity of Machine Learning


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 November 3, 2017  47m
 
 

[MINI] Turing Machines


TMs are a model of computation at the heart of algorithmic analysis.  A Turing Machine has two components.  An infinitely long piece of tape (memory) with re-writable squares and a read/write head which is programmed to change it's state as...


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 October 27, 2017  13m
 
 

The Complexity of Learning Neural Networks


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 October 20, 2017  38m
 
 

[MINI] Big Oh Analysis


How long an algorithm takes to run depends on many factors including implementation details and hardware.  However, the formal analysis of algorithms focuses on how they will perform in the worst case as the input size grows.  We refer to an...


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 October 13, 2017  18m
 
 

Data science tools and other announcements from Ignite


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 October 6, 2017  31m