Data Skeptic
En podkast av Kyle Polich
Kategorier:
549 Episoder
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Do We Need Deep Learning in Time Series
Publisert: 16.6.2021 -
Detecting Drift
Publisert: 11.6.2021 -
Darts Library for Time Series
Publisert: 31.5.2021 -
Forecasting Principles and Practice
Publisert: 24.5.2021 -
Prequisites for Time Series
Publisert: 21.5.2021 -
Orders of Magnitude
Publisert: 7.5.2021 -
They're Coming for Our Jobs
Publisert: 3.5.2021 -
Pandemic Machine Learning Pitfalls
Publisert: 26.4.2021 -
Flesch Kincaid Readability Tests
Publisert: 19.4.2021 -
Fairness Aware Outlier Detection
Publisert: 9.4.2021 -
Life May be Rare
Publisert: 5.4.2021 -
Social Networks
Publisert: 29.3.2021 -
The QAnon Conspiracy
Publisert: 22.3.2021 -
Benchmarking Vision on Edge vs Cloud
Publisert: 15.3.2021 -
Goodhart's Law in Reinforcement Learning
Publisert: 5.3.2021 -
Video Anomaly Detection
Publisert: 1.3.2021 -
Fault Tolerant Distributed Gradient Descent
Publisert: 22.2.2021 -
Decentralized Information Gathering
Publisert: 15.2.2021 -
Leaderless Consensus
Publisert: 5.2.2021 -
Automatic Summarization
Publisert: 29.1.2021
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.
