Data Skeptic
A podcast by Kyle Polich

Categories:
565 Episodes
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Boosted Embeddings for Time Series
Published: 4/10/2021 -
Change Point Detection in Continuous Integration Systems
Published: 27/09/2021 -
Applying k-Nearest Neighbors to Time Series
Published: 20/09/2021 -
Ultra Long Time Series
Published: 13/09/2021 -
MiniRocket
Published: 6/09/2021 -
ARiMA is not Sufficient
Published: 30/08/2021 -
Comp Engine
Published: 23/08/2021 -
Detecting Ransomware
Published: 16/08/2021 -
GANs in Finance
Published: 9/08/2021 -
Predicting Urban Land Use
Published: 2/08/2021 -
Opportunities for Skillful Weather Prediction
Published: 26/07/2021 -
Predicting Stock Prices
Published: 19/07/2021 -
N-Beats
Published: 12/07/2021 -
Translation Automation
Published: 6/07/2021 -
Time Series at the Beach
Published: 28/06/2021 -
Automatic Identification of Outlier Galaxy Images
Published: 21/06/2021 -
Do We Need Deep Learning in Time Series
Published: 16/06/2021 -
Detecting Drift
Published: 11/06/2021 -
Darts Library for Time Series
Published: 31/05/2021 -
Forecasting Principles and Practice
Published: 24/05/2021
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.