Data Skeptic
Un pódcast de Kyle Polich
Categorías:
565 Episodo
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Boosted Embeddings for Time Series
Publicado: 4/10/2021 -
Change Point Detection in Continuous Integration Systems
Publicado: 27/9/2021 -
Applying k-Nearest Neighbors to Time Series
Publicado: 20/9/2021 -
Ultra Long Time Series
Publicado: 13/9/2021 -
MiniRocket
Publicado: 6/9/2021 -
ARiMA is not Sufficient
Publicado: 30/8/2021 -
Comp Engine
Publicado: 23/8/2021 -
Detecting Ransomware
Publicado: 16/8/2021 -
GANs in Finance
Publicado: 9/8/2021 -
Predicting Urban Land Use
Publicado: 2/8/2021 -
Opportunities for Skillful Weather Prediction
Publicado: 26/7/2021 -
Predicting Stock Prices
Publicado: 19/7/2021 -
N-Beats
Publicado: 12/7/2021 -
Translation Automation
Publicado: 6/7/2021 -
Time Series at the Beach
Publicado: 28/6/2021 -
Automatic Identification of Outlier Galaxy Images
Publicado: 21/6/2021 -
Do We Need Deep Learning in Time Series
Publicado: 16/6/2021 -
Detecting Drift
Publicado: 11/6/2021 -
Darts Library for Time Series
Publicado: 31/5/2021 -
Forecasting Principles and Practice
Publicado: 24/5/2021
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.
