These books will help you learn machine learning

Machine learning engineer Daniel Bourke shares some of the best books for learning machine learning. I've been learning machine learning for the past two years now, these books have all been instrumental throughout.

Book links (in order):

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#machinelearning #books

[mrdbourke]

Did I miss any? What are your favourite data science and machine learning books?

[jetlife]

Cheers to Daniel, Keep leading.... and finding the best resources for you (and us).
Learning happens different for everyone but you help show how to gut it out....
and get substantial amount learned in a short period on you path to success.

[thanmayideepthi]

What draws me to your channel is your Honesty!! You never exaggerate the things. Nice video AS ALWAYS

[premangraithatha]

Bro, plz make a machine learning course. You read so many books and worked in industdy.

[ps]

I saw this channel at 5k subs and in a month it has crossed 12K, so cool!!!

[mitable]

i dont often comment but your work is really good n must appreciate!!! Thank you for helping fellow like me :)

[albertog]

guys wait for the 2nd edition of hands on ML, its right around the corner

[mabrouk]

Greatly appreciate you sharing your reading list, so to speak...
Thank you so much for that

[madhavpr]

Nice video. Here are some other books that are worth reading/studying.


1) Elements of statistical learning (if you have an advanced math background) or Introduction to Statistical Learning by Tibishirani et al.
2) Machine learning: A probabilistic perspective by Kevin Murphy [I am not a die hard fan of this book but it works well for most cases]
3) The book of why-Judea Pearl (An amazing "semi" technical book that talks about causal inference; a critical piece that's missing in machine learning and deep learning)

[raould]

Excellent video! Thanks so much for the clear and concise reviews as well as the links. Very helpful!

[AnungAriwibowo]

Thanks a lot for reviewing these books.

[mariozamora]

I would like to recommend "Pattern recognition and machine learning" by Christopher Bishop and "Understanding Machine learning" by Shai Shalev both for the Mathematical issues involved in research algorithms and more

[ooow]

Wow, what a great guide! The Hundred Page Machine Learning Book is indeed extremely good, especially for intuitions. As a CS undergrad, I was trying to use The Elements of Statistical Modeling (recommended by my professor), which is insanely hard to understand xD Anyway, thanks Daniel! You definitely deserve a lot more subscribers:)

[sreenathm]

Daniel you are awesome and very generous in sharing the knowledge...the love the way you explain the things...great..

[denismerigold]

Grokking Deep Learning - best book! does not use popular frameworks and libraries this is a wonderful book. if you know the same then tell me. Andrew Trask great teacher

[casaba-lave]

thanks a lot for sharing those great books

[TheBjjninja]

Nice list! I have DL and the 100 page book from this list. Love those two specifically for the reason they dont have code. I have a few coding books but the risk or problem there is the code will change as you correctly pointed out. The next level after DL are some phd level math books 50% written with greek symbols lol

[JousefM]

I can really recommend Trask's book. Will continue reading it while travelling :D

[ecp]

I have "Python for Data Analysis" and "Hands-on Machine Learning with Scikit-Learn and TensorFlow". Other book I recommend also "Python Data Science Hanbook" the author is Jake VanderPlas.

[francisk]

Reading is learning. You are correct about that.