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Super Data Science: ML & AI Podcast with Jon Krohn
649: Introduction to Machine Learning
Jan 31, 2023
Data science instructors Kirill Eremenko and Hadelin de Ponteve discuss essential ML concepts like logistic regression, feature scaling, and the Elbow Method. They introduce their new course and cover supervised vs unsupervised learning, false positives/negatives, and linear regression assumptions.
01:22:25
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Quick takeaways
- Supervised learning predicts known outcomes with labeled data, while unsupervised learning identifies patterns in unlabeled data sets.
- Establishing correct thresholds for model predictions is crucial, balancing trade-offs between false positives and false negatives to improve model accuracy.
Deep dives
Fundamental Concepts in Data Science Education
The episode features renowned data science educators discussing the fundamental concepts of data science education. Kirill Eramenko and Adlain de Pontève, creators of popular data science courses, delve into their motivations behind creating courses and how the landscape of online education has evolved over the years. They emphasize the importance of adapting teaching styles to meet the changing demands and time constraints of modern learners.
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