Data Skeptic
Un pódcast de Kyle Polich
571 Episodo
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Explainable K-Means
Publicado: 3/3/2022 -
Customer Clustering
Publicado: 28/2/2022 -
k-means Image Segmentation
Publicado: 22/2/2022 -
Tracking Elephant Clusters
Publicado: 18/2/2022 -
k-means clustering
Publicado: 14/2/2022 -
Snowflake Essentials
Publicado: 7/2/2022 -
Explainable Climate Science
Publicado: 31/1/2022 -
Energy Forecasting Pipelines
Publicado: 24/1/2022 -
Matrix Profiles in Stumpy
Publicado: 17/1/2022 -
The Great Australian Prediction Project
Publicado: 14/1/2022 -
Water Demand Forecasting
Publicado: 10/1/2022 -
Open Telemetry
Publicado: 3/1/2022 -
Fashion Predictions
Publicado: 27/12/2021 -
Time Series Mini Episodes
Publicado: 25/12/2021 -
Forecasting Motor Vehicle Collision
Publicado: 20/12/2021 -
Deep Learning for Road Traffic Forecasting
Publicado: 13/12/2021 -
Bike Share Demand Forecasting
Publicado: 6/12/2021 -
Forecasting in Supply Chain
Publicado: 29/11/2021 -
Black Friday
Publicado: 26/11/2021 -
Aligning Time Series on Incomparable Spaces
Publicado: 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.
