Data Skeptic
Un podcast de Kyle Polich
571 Épisodes
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Explainable K-Means
Publié: 03/03/2022 -
Customer Clustering
Publié: 28/02/2022 -
k-means Image Segmentation
Publié: 22/02/2022 -
Tracking Elephant Clusters
Publié: 18/02/2022 -
k-means clustering
Publié: 14/02/2022 -
Snowflake Essentials
Publié: 07/02/2022 -
Explainable Climate Science
Publié: 31/01/2022 -
Energy Forecasting Pipelines
Publié: 24/01/2022 -
Matrix Profiles in Stumpy
Publié: 17/01/2022 -
The Great Australian Prediction Project
Publié: 14/01/2022 -
Water Demand Forecasting
Publié: 10/01/2022 -
Open Telemetry
Publié: 03/01/2022 -
Fashion Predictions
Publié: 27/12/2021 -
Time Series Mini Episodes
Publié: 25/12/2021 -
Forecasting Motor Vehicle Collision
Publié: 20/12/2021 -
Deep Learning for Road Traffic Forecasting
Publié: 13/12/2021 -
Bike Share Demand Forecasting
Publié: 06/12/2021 -
Forecasting in Supply Chain
Publié: 29/11/2021 -
Black Friday
Publié: 26/11/2021 -
Aligning Time Series on Incomparable Spaces
Publié: 22/11/2021
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.
