Data Skeptic
Un podcast de Kyle Polich
Catégories:
549 Épisodes
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Do We Need Deep Learning in Time Series
Publié: 16/06/2021 -
Detecting Drift
Publié: 11/06/2021 -
Darts Library for Time Series
Publié: 31/05/2021 -
Forecasting Principles and Practice
Publié: 24/05/2021 -
Prequisites for Time Series
Publié: 21/05/2021 -
Orders of Magnitude
Publié: 07/05/2021 -
They're Coming for Our Jobs
Publié: 03/05/2021 -
Pandemic Machine Learning Pitfalls
Publié: 26/04/2021 -
Flesch Kincaid Readability Tests
Publié: 19/04/2021 -
Fairness Aware Outlier Detection
Publié: 09/04/2021 -
Life May be Rare
Publié: 05/04/2021 -
Social Networks
Publié: 29/03/2021 -
The QAnon Conspiracy
Publié: 22/03/2021 -
Benchmarking Vision on Edge vs Cloud
Publié: 15/03/2021 -
Goodhart's Law in Reinforcement Learning
Publié: 05/03/2021 -
Video Anomaly Detection
Publié: 01/03/2021 -
Fault Tolerant Distributed Gradient Descent
Publié: 22/02/2021 -
Decentralized Information Gathering
Publié: 15/02/2021 -
Leaderless Consensus
Publié: 05/02/2021 -
Automatic Summarization
Publié: 29/01/2021
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.
