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Episode
649: Introduction to Machine Learning — with Kirill Eremenko and Hadelin de Ponteves
Views
2K
0.1× the show’s average
Episode2K
Show avg17K
Published
3y ago
Jan 31, 2023
Length
1h 20m
show avg 1h 09m
From the show
Chapters
#MLConcepts #MachineLearningInPython #MachineLearningForBeginners Looking for a short primer on Machine Learning concepts? SDS Founder Kirill Eremenko and AI expert Hadelin de Ponteves are back, joining @JonKrohnLearns to review essential ML concepts. From classification errors to logistic regression, feature scaling, the elbow method and more. The popular data science instructors also introduce their latest course: Machine Learning in Python: Level 1. In this episode you will learn: Additional materials: https://www.superdatascience.com/649 Interested in sponsoring a SuperDataScience Podcast episode? Visit https://www.jonkrohn.com/podcast for sponsorship information.
- 0:00Catching up with Kirill and Hadelin
- 15:27Kirill and Hadelin's new course
- 24:16Supervised vs unsupervised learning
- 29:15False positives and false negatives
- 40:53Logistic regression
- 44:32Holding out a set of test data
- 50:38Feature scaling
- 57:37The Adjusted R-Squared metric
- 1:03:05The five assumptions of linear regression
- 1:09:35The Elbow Method
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