Deep Learning with Python (Book Review)

[@sentralorigin]

any time Dimitri rates a book 5/5, i instantly purchase it

[@noway4715]

The author is not only the contributor and he is the creator so it’s a must-have book for ML engineer

[@igorhenrique1678]

Deep Learning with Python or Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems? Which one is better for a beginner?

[@DimitriBianco]

Deep Learning with Python only covers neutral networks whereas Hands-On ML covers a wide range of topics. If your just starting ML get the Hands-On ML book as you will learn more tools.

[@saptarshisanyal4869]

Although it is an excellent book but the codes will not execute in 2022. Majority of the classes have been deprecated or moved to different packages. Still for concepts it is highly recommended. In today's fast past paced world of software development, you have to master the skill of gaining knowledge from the official documentation of TensorFlow.

[@mT4945]

hi Dimitri, I would like to ask you thinking about Bayesian methods in finance? The good thing is it brings degree of uncertainty which is good in finance. However, the results are simulated from mcmc simulation which may differ sometime. Please share you thought about it because I think going deeply into Bayesian methods.

[@DimitriBianco]

Bayesian statistics is used in some areas of quant finance but it depends on the company you work at. Trading firms try to utilize a variety of methods so some firms might actually specialize in a Bayesian approach. Markov Chains are common in finance in a variety of areas. I don't work on the trading side however I am sure someone is using MCMC.

[@Bwajster]

Is this book beginner friendly?

[@DimitriBianco]

@@Bwajster yes

[@abdullahalrafi5400]

Dimitri, I want to dive deep into the AI world. I am an undergrad student. I want to be a researcher. I am really confused. Which book to follow, in which order to follow. Should I first dive deep into math(I have little basic knowledge) or should I dive directly into deep learning books theory books like Ian Goodfellow's book or practical book like this deep learning with python book? Please give your suggestion.

[@DimitriBianco]

I don't think there is really a right or wrong area to start in however I would just make sure to really study across the different topics. If you want to start with a more fun and hands on approach I would start with this book (Deep Learning with Python). Then as you read the book I would take notes on what you don't fully understand or what you think you should know deeper. Then once you finish this book, grab a math book such as "Mathematics for Economists" (I'll link my review below). While this book is math applied to economics it covers concepts such as optimization which is the main idea behind gradient descent. It will also cover matrices which are used a lot in the math for data science and deep learning. Then you might consider jumping to Goodfellow's book for more theory. By focusing on a specific area for a while you'll get a deeper understanding than jumping between multiple topics which I find confusing. Mathematics for Economists (book review) kzbin.info/www/bejne/nZa5YXWCoN5pr5o

[@abdullahalrafi5400]

@@DimitriBianco thank you so much

[@anoushk]

I just started Googles machine learning crash course, would this book be helpful?

[@DimitriBianco]

Yes, this book would be helpful.

[@angelferhati]

What about the second edition

[@DimitriBianco]

For coding books always go with the newest addition.

[@patmtc477]

Thank you so much.

[@vishaljdeodhar5445]

Would you recommend this to a beginner?!

[@DimitriBianco]

Yes it is a good book for a beginner.

[@TheShubham67]

Thanks I bought it!!!!

[@comicipedia]

I started reading this book after watching this but had to abandon it part way through. The big problem is that it's 3 years old which is an eternity in software development. All the code examples use an outdated version of keras and tensorflow. It's a well written book but I'd rather read a slightly worse written book with up to date code examples.

[@prod.kashkari3075]

He’s working on tf 2 version rn

[@Sai-tek]

Hey Dimitri can you give a review of IIQF India. It is the one and only institute in India offering financial engineering programs.

[@DimitriBianco]

It's hard to tell from looking at websites so I avoid giving advice on specific programs. I don't want to mislead anyone.

[@ut58]

Just got this for INR 530 which is USD 7.20! Bless Amazon haha

[@DimitriBianco]

That's a great deal!

[@anoushk]

Bruh i got it for rs 390

[@sandeepvivek6134]

I got it for rs255 today

[@vtrandal]

It is a 5 out of 5 book!

[@kshitijshekhar1144]

Do not buy it now. It uses pure keras. A lot of the API has changed. Buy the second edition that came out in 2022.

[@ぶらえんぴん]

I kind of want to see the inside the book more, less of you (sorry)