Data Skeptic
En podkast av Kyle Polich
Kategorier:
549 Episoder
-
Time Series for Good
Publisert: 1.11.2021 -
Long Term Time Series Forecasting
Publisert: 25.10.2021 -
Fast and Frugal Time Series Forecasting
Publisert: 17.10.2021 -
Causal Inference in Educational Systems
Publisert: 11.10.2021 -
Boosted Embeddings for Time Series
Publisert: 4.10.2021 -
Change Point Detection in Continuous Integration Systems
Publisert: 27.9.2021 -
Applying k-Nearest Neighbors to Time Series
Publisert: 20.9.2021 -
Ultra Long Time Series
Publisert: 13.9.2021 -
MiniRocket
Publisert: 6.9.2021 -
ARiMA is not Sufficient
Publisert: 30.8.2021 -
Comp Engine
Publisert: 23.8.2021 -
Detecting Ransomware
Publisert: 16.8.2021 -
GANs in Finance
Publisert: 9.8.2021 -
Predicting Urban Land Use
Publisert: 2.8.2021 -
Opportunities for Skillful Weather Prediction
Publisert: 26.7.2021 -
Predicting Stock Prices
Publisert: 19.7.2021 -
N-Beats
Publisert: 12.7.2021 -
Translation Automation
Publisert: 6.7.2021 -
Time Series at the Beach
Publisert: 28.6.2021 -
Automatic Identification of Outlier Galaxy Images
Publisert: 21.6.2021
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.
