Hands-On Machine Learning with Scikit-Learn, Keras, & TensorFlow (Book Review)

On my quest to find good data science books, I came across Hands-On Machine Learning with Scikit-Learn, Keras, &TensorFlow. The book has been recommended all over the internet and even from a few friends who are data scientists.

As an overall rating I give it 4.5 stars out of 5.

Hands-On Machine Learning with Scikit-Learn, Keras, & TensorFlow (affiliate link)

DO NOT BUY THE FIRST EDITION! It is shorter, lacks color graphics, does not cover the newer TensorFlow 2, and on Amazon it is more expensive (as of right now).

Who is the book for?
1) the book is great for beginners
2) those who have a strong statistics and math background
3) and experienced data scientists who want a reference book

Who is the book NOT for?
1) those who are experienced in data science looking to advance their knowledge and understanding
2) those looking for a mathematically rigorous textbook

This book has a great sweet spot of programming and general understanding. I compare it to two other books so you can get an idea of what the book is good at and what you might want a different book for. Below are the other books reviewed.

1) Deep Learning with Python (affiliate link)

2) Pattern Recognition and Machine Learning (affiliate link)

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[Kevinwisdom]

Reading this book now. It's pretty friendly for beginners.

[fergem]

Really liked this video, now I know what to expect from the book.

[rashawnhoward]

For my program in stats, I read the elements of Statistical learning, still my favorite book. I read Applied Predictive Modeling by Max Khun. I would recommend this book to anyone, it's a good read.

[christianubiratan]

Incredible content! Coming here to congratulate you from Brazil, your channel is really helping me

[ccuuttww]

Well I would comment on that book as a general view of machine learning The most important part is in chapter 1 and chapter 2
and the rest of it I recommend everyone should go through the details yourself for example RPCA U should able to build up your own script from scratch
and keep doing new project to keep your mind strong

[lahirulowe]

Love the videos ❤️....looking forward for more book reviews ❤️❤️❤️

[abdullahalrafi]

Please review books more frequently. Great review

[rahulpawar]

Good timing mam actually looking to buy this but didn't sure. It's quite expensive. Thanks

[Mukesh-bfxt]

Im currently going through this book, currently on chp. 3 ...
one thing for sure if u really want to enjoy or better understand this book, learn complete python before purchasing this book ...

[yahavbitton]

Awesome video! it would be pretty cool if you did a video on your goals, it would be great to see what a quants goals are today in the industry!

[thepratikplays]

do you still recommend this book for 2024??

[alkisantz]

Hey Dimitri! Could you consider making a future video on fintech start-ups?

[Rayyankhantheboss]

I don't know a thing about ML. I am a Python programmer, have done a some matrix stuff before, is this a good book for a complete beginner for me?

[jaggyjut]

Why buy this book if there is good online documentation, udemy courses, YouTube, medium, Twitter?

[andresrossi]

seems to be a great book! I'll add on my wishlist

[bharddwajvemulapalli]

Hey Dimitri, great video! Do you ever plan on doing a book review for Elements of Statistical Learning?

[سيفالشمري-ضثو]

Hi can you make a video about the deep learning with python book ? And is it suitable for a beginner in neural networks?

[chesteryau]

Hi Dimitri,

What is your take on Bayesian inference? Is it used a lot/at all in your work/as a statistican/as a quant?

[spiketod]

Hi Dimitri great content as always!
Would love more book reviews in the future.

I'm currently a freshman entering university and would love some honest advice. I am studying Accountancy and Finance and am interested (i think) in entering the more traditional finance roles e.g. FP&A, corp fin&strategy etc.

However, I would like to keep my options. I was thinking of taking a minor in Mathematics so that I meet the pre-reqs for post-grad in a more quantitative field such as a MSc in stats or comp finance, or to simply have the skills needed to self-study in the future. I would be able to take ~8 courses, incl. Calculus 1-3, Linear Algebra 1-2, probability, statistics and possibly real analysis and ODE.

Do you think this is a good idea? If so, are there any other courses you think I should take instead (e.g. regression, stochastics etc.)?

Or do you think it would be a better idea for me to take a minor in Computing, where I would get a strong foundation in programming, data structures, algorithms etc. ? The minor would probably be immediately more useful and relevant.

Thanks once again, really enjoy your content!

[angelferhati]

I have both of hands on machine learning with python and pyhton for deep learning how can I use them