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Favorite AI/ML Books: Intro to ML with Python (Book Review)
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Jay looks at one of the books that helped him start to learn about machine learning: "Introduction to Machine Learning with Python: A Guide for Data Scientists". It is an intuitive book with code examples using the python libraries commonly used in industry (Jupyter, numPy, Pandas, sklearn).
Contents:
Introduction (0:00)
Books are awesome (0:30)
How I got into machine learning (1:48)
Looking inside & table of contents (3:04)
Supervised learning methods (4:51)
Unsupervised learning methods (6:21)
Glance through my copy and highlights (7:53)
Conclusion (10:21)
Book: Introduction to Machine Learning with Python: A Guide for Data Scientists
Applied ML course on YouTube by author @AndreasMueller :
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Contents:
Introduction (0:00)
Books are awesome (0:30)
How I got into machine learning (1:48)
Looking inside & table of contents (3:04)
Supervised learning methods (4:51)
Unsupervised learning methods (6:21)
Glance through my copy and highlights (7:53)
Conclusion (10:21)
Book: Introduction to Machine Learning with Python: A Guide for Data Scientists
Applied ML course on YouTube by author @AndreasMueller :
------
------
More videos by Jay:
Language Processing with BERT: The 3 Minute Intro (Deep learning for NLP)
Explainable AI Cheat Sheet - Five Key Categories
The Narrated Transformer Language Model
Jay's Visual Intro to AI
How GPT-3 Works - Easily Explained with Animations
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