Data Skeptic
A podcast by Kyle Polich
Categories:
549 Episodes
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k-means Image Segmentation
Published: 22/02/2022 -
Tracking Elephant Clusters
Published: 18/02/2022 -
k-means clustering
Published: 14/02/2022 -
Snowflake Essentials
Published: 7/02/2022 -
Explainable Climate Science
Published: 31/01/2022 -
Energy Forecasting Pipelines
Published: 24/01/2022 -
Matrix Profiles in Stumpy
Published: 17/01/2022 -
The Great Australian Prediction Project
Published: 14/01/2022 -
Water Demand Forecasting
Published: 10/01/2022 -
Open Telemetry
Published: 3/01/2022 -
Fashion Predictions
Published: 27/12/2021 -
Time Series Mini Episodes
Published: 25/12/2021 -
Forecasting Motor Vehicle Collision
Published: 20/12/2021 -
Deep Learning for Road Traffic Forecasting
Published: 13/12/2021 -
Bike Share Demand Forecasting
Published: 6/12/2021 -
Forecasting in Supply Chain
Published: 29/11/2021 -
Black Friday
Published: 26/11/2021 -
Aligning Time Series on Incomparable Spaces
Published: 22/11/2021 -
Comparing Time Series with HCTSA
Published: 15/11/2021 -
Change Point Detection Algorithms
Published: 8/11/2021
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.