Data Skeptic
Un podcast de Kyle Polich
Catégories:
549 Épisodes
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Time Series for Good
Publié: 01/11/2021 -
Long Term Time Series Forecasting
Publié: 25/10/2021 -
Fast and Frugal Time Series Forecasting
Publié: 17/10/2021 -
Causal Inference in Educational Systems
Publié: 11/10/2021 -
Boosted Embeddings for Time Series
Publié: 04/10/2021 -
Change Point Detection in Continuous Integration Systems
Publié: 27/09/2021 -
Applying k-Nearest Neighbors to Time Series
Publié: 20/09/2021 -
Ultra Long Time Series
Publié: 13/09/2021 -
MiniRocket
Publié: 06/09/2021 -
ARiMA is not Sufficient
Publié: 30/08/2021 -
Comp Engine
Publié: 23/08/2021 -
Detecting Ransomware
Publié: 16/08/2021 -
GANs in Finance
Publié: 09/08/2021 -
Predicting Urban Land Use
Publié: 02/08/2021 -
Opportunities for Skillful Weather Prediction
Publié: 26/07/2021 -
Predicting Stock Prices
Publié: 19/07/2021 -
N-Beats
Publié: 12/07/2021 -
Translation Automation
Publié: 06/07/2021 -
Time Series at the Beach
Publié: 28/06/2021 -
Automatic Identification of Outlier Galaxy Images
Publié: 21/06/2021
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.
