Data Skeptic
Un podcast de Kyle Polich
Catégories:
549 Épisodes
-
The Reliability of Mobile Phone Data
Publié: 13/06/2022 -
Haywire Algorithms
Publié: 06/06/2022 -
School Reopening Analysis
Publié: 30/05/2022 -
Modern Data Stacks
Publié: 26/05/2022 -
Emoji as a Predictor
Publié: 23/05/2022 -
Polarizing Trends in the Gig Economy
Publié: 16/05/2022 -
Remote Learning in Applied Engineering
Publié: 12/05/2022 -
Remote Productivity
Publié: 09/05/2022 -
Does Remote Learning Work?
Publié: 01/05/2022 -
Covid-19 Impact on Bicycle Usage
Publié: 25/04/2022 -
Learning Digital Fabrication Remotely
Publié: 22/04/2022 -
Remote Software Development
Publié: 18/04/2022 -
Quantum K-Means
Publié: 11/04/2022 -
K-Means in Practice
Publié: 04/04/2022 -
Fair Hierarchical Clustering
Publié: 28/03/2022 -
Matrix Factorization For k-Means
Publié: 21/03/2022 -
Breathing K-Means
Publié: 14/03/2022 -
Power K-Means
Publié: 07/03/2022 -
Explainable K-Means
Publié: 03/03/2022 -
Customer Clustering
Publié: 28/02/2022
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.