Data Skeptic
A podcast by Kyle Polich
Categories:
559 Episodes
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Fashion Predictions
Published: 12/27/2021 -
Time Series Mini Episodes
Published: 12/25/2021 -
Forecasting Motor Vehicle Collision
Published: 12/20/2021 -
Deep Learning for Road Traffic Forecasting
Published: 12/13/2021 -
Bike Share Demand Forecasting
Published: 12/6/2021 -
Forecasting in Supply Chain
Published: 11/29/2021 -
Black Friday
Published: 11/26/2021 -
Aligning Time Series on Incomparable Spaces
Published: 11/22/2021 -
Comparing Time Series with HCTSA
Published: 11/15/2021 -
Change Point Detection Algorithms
Published: 11/8/2021 -
Time Series for Good
Published: 11/1/2021 -
Long Term Time Series Forecasting
Published: 10/25/2021 -
Fast and Frugal Time Series Forecasting
Published: 10/17/2021 -
Causal Inference in Educational Systems
Published: 10/11/2021 -
Boosted Embeddings for Time Series
Published: 10/4/2021 -
Change Point Detection in Continuous Integration Systems
Published: 9/27/2021 -
Applying k-Nearest Neighbors to Time Series
Published: 9/20/2021 -
Ultra Long Time Series
Published: 9/13/2021 -
MiniRocket
Published: 9/6/2021 -
ARiMA is not Sufficient
Published: 8/30/2021
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.