Master Machine Learning with These Top 3 Beginner Books π
Discover the best introductory books to kickstart your machine learning journey. Perfect for newcomers eager to learn the fundamentals and advance quickly!

DataMListic
4.2K views β’ Oct 9, 2025

About this video
π *RECOMMENDED BOOKS TO START WITH MACHINE LEARNING*
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If you're new to ML, here are the 3 best books I recommend (I've personally read all of these):
1. Hands-On Machine Learning β the go-to practical ML guide: https://amzn.to/3UcGqSS
2. Mathematics for Machine Learning β deep dive into the theoretical aspects of ML: https://amzn.to/3IZgHe7
3. Designing Machine Learning Systems - practical strategies for building scalable ML solutions: https://amzn.to/4ojEqFX
These are affiliate links, so buying through them helps support the channel at no extra cost to you β thanks π
*Summary*
β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬
Discover how Singular Value Decomposition (SVD) transforms complex matrices into clear geometric insights. This video visually explains how SVD decomposes data into orthogonal components, showing how matrices stretch, rotate, and scale space. Perfect for students, data scientists, and AI enthusiasts who want to understand linear algebra, data compression, and dimensionality reduction through visual intuition.
*Follow Me*
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π¦ Twitter: @datamlistic https://twitter.com/datamlistic
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The best way to support the channel is to share the content. ;)
If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary)
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β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬
If you're new to ML, here are the 3 best books I recommend (I've personally read all of these):
1. Hands-On Machine Learning β the go-to practical ML guide: https://amzn.to/3UcGqSS
2. Mathematics for Machine Learning β deep dive into the theoretical aspects of ML: https://amzn.to/3IZgHe7
3. Designing Machine Learning Systems - practical strategies for building scalable ML solutions: https://amzn.to/4ojEqFX
These are affiliate links, so buying through them helps support the channel at no extra cost to you β thanks π
*Summary*
β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬
Discover how Singular Value Decomposition (SVD) transforms complex matrices into clear geometric insights. This video visually explains how SVD decomposes data into orthogonal components, showing how matrices stretch, rotate, and scale space. Perfect for students, data scientists, and AI enthusiasts who want to understand linear algebra, data compression, and dimensionality reduction through visual intuition.
*Follow Me*
β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬
π¦ Twitter: @datamlistic https://twitter.com/datamlistic
πΈ Instagram: @datamlistic https://www.instagram.com/datamlistic
π± TikTok: @datamlistic https://www.tiktok.com/@datamlistic
π Linkedin: https://www.linkedin.com/company/datamlistic
*Channel Support*
β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬
The best way to support the channel is to share the content. ;)
If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary)
βΊ Patreon: https://www.patreon.com/datamlistic
βΊ Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq
βΊ Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281
βΊ Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5
βΊ Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a
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Video Information
Views
4.2K
Likes
218
Duration
1:31
Published
Oct 9, 2025
User Reviews
4.6
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