Data Skeptic
A podcast by Kyle Polich
592 Episodio
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Aligning Time Series on Incomparable Spaces
Pubblicato: 22/11/2021 -
Comparing Time Series with HCTSA
Pubblicato: 15/11/2021 -
Change Point Detection Algorithms
Pubblicato: 08/11/2021 -
Time Series for Good
Pubblicato: 01/11/2021 -
Long Term Time Series Forecasting
Pubblicato: 25/10/2021 -
Fast and Frugal Time Series Forecasting
Pubblicato: 17/10/2021 -
Causal Inference in Educational Systems
Pubblicato: 11/10/2021 -
Boosted Embeddings for Time Series
Pubblicato: 04/10/2021 -
Change Point Detection in Continuous Integration Systems
Pubblicato: 27/09/2021 -
Applying k-Nearest Neighbors to Time Series
Pubblicato: 20/09/2021 -
Ultra Long Time Series
Pubblicato: 13/09/2021 -
MiniRocket
Pubblicato: 06/09/2021 -
ARiMA is not Sufficient
Pubblicato: 30/08/2021 -
Comp Engine
Pubblicato: 23/08/2021 -
Detecting Ransomware
Pubblicato: 16/08/2021 -
GANs in Finance
Pubblicato: 09/08/2021 -
Predicting Urban Land Use
Pubblicato: 02/08/2021 -
Opportunities for Skillful Weather Prediction
Pubblicato: 26/07/2021 -
Predicting Stock Prices
Pubblicato: 19/07/2021 -
N-Beats
Pubblicato: 12/07/2021
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.
