Data Skeptic
A podcast by Kyle Polich
Categories:
559 Episodes
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Learning Digital Fabrication Remotely
Published: 4/22/2022 -
Remote Software Development
Published: 4/18/2022 -
Quantum K-Means
Published: 4/11/2022 -
K-Means in Practice
Published: 4/4/2022 -
Fair Hierarchical Clustering
Published: 3/28/2022 -
Matrix Factorization For k-Means
Published: 3/21/2022 -
Breathing K-Means
Published: 3/14/2022 -
Power K-Means
Published: 3/7/2022 -
Explainable K-Means
Published: 3/3/2022 -
Customer Clustering
Published: 2/28/2022 -
k-means Image Segmentation
Published: 2/22/2022 -
Tracking Elephant Clusters
Published: 2/18/2022 -
k-means clustering
Published: 2/14/2022 -
Snowflake Essentials
Published: 2/7/2022 -
Explainable Climate Science
Published: 1/31/2022 -
Energy Forecasting Pipelines
Published: 1/24/2022 -
Matrix Profiles in Stumpy
Published: 1/17/2022 -
The Great Australian Prediction Project
Published: 1/14/2022 -
Water Demand Forecasting
Published: 1/10/2022 -
Open Telemetry
Published: 1/3/2022
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.