These books will help you learn machine learning

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Title	:	These books will help you learn machine learning
Lasting	:	10.23
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Did I miss any? What are your favourite data science and machine learning books?
Comment from : @mrdbourke

thanks a lot for sharing those great books
Comment from : @casaba-lave

Grokking Machine Learning by Luis G Serrano
Comment from : @mageshmn

Excellent review
Comment from : @riccardoronco627

Hands on machine learning is my fav
Comment from : @abidashaheen7722

Deep learning Yoshua Bengio, Aaaron Courville and Ian Goodfellow is a book for those who master all concepts of deep learning and have strong mathematical background (at least 2nd year of college math class) , and i don't recommend it if you want to start deep learning because it is for expert and it will threaten you 😄
Comment from : @spider279

Please make a updated vid on same topic , thanks
Comment from : @yuvrajagarkar8764

Currently reading Elements of Statistical Learning to get the math foundation Truly recommend
Comment from : @josedelgado1010

Is this book for beginners?
Comment from : @mohamedhassan7735

Awesome and thanks for the video
Comment from : @CentauroDelnorte2

Remake the video with new list of book?
Comment from : @OmkarNibandhe

Hi, can you recommend a deep learning book for beginners?
Comment from : @colabwork1910

Daniel you are awesome and very generous in sharing the knowledgethe love the way you explain the thingsgreat
Comment from : @sreenathm4539

Great list Thanks Daniel !!
Comment from : @subramaniananantharaman1548

Download Deep Learning with Python 2nd Edition PDF by Francois Chollet : wwwlunaticaicom/2021/07/deep-learning-with-python-second-edition-pdfhtml
Comment from : @user-si4qn2qw6t

please can you put your email here
Comment from : @benbrahimjihad2492

How do you feel about using a kindle to read some of these books considering they can be graphic and color and text intensive?
Comment from : @amrabdelaziz6923

no wonder why his voice sounds familiar I am doing his course on Udemy and its worth it So good explanation
Comment from : @pawansapkota3970

Greatly appreciate you sharing your reading list, so to speakbrThank you so much for that
Comment from : @mabrouk642

7:13 HAHAHAHAHHA 🤣🤣🤣🤣🤣🤣🤣
Comment from : @danielniels22

Introduction to machine learning with python? Is it good book?
Comment from : @salikmalik7631

Hey Daniel, if you don’t mind, can I send an email and ask you for some information about a career in DS and ml and how the job situation in Australia is
Comment from : @srinivaskari

Reading is learning You are correct about that
Comment from : @francis2k488

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
Comment from : @ecp5758

Thank you very much for introducing VARIDESKCOM Your desk looks really nice
Comment from : @tchappyha4034

Thanks a lot for reviewing these books
Comment from : @AnungAriwibowo

Of course people are different, and it's a matter of personal taste, but here's my unsurpassed Top 3 (in order of LEARNING, not the quality):br1 "Mathematics for Machine Learning" by Marc Peter Diesenroth, A Aldo Faisal and Cheng Soon Ong, Cambridge University Press, 2019brThis has ALL the math you will need (except for the deep learning algorithms alas), in the best possible form, and NOTHING you won't need You will really master PCA and SVM after defeating this book Every chapter has a lot of exercises, and, believe me, even if you consider the chapter totally clear, you aren't going to do these exercises easily!br2 "Fundamentals of Machine Learning for Predictive Data Analysis" by John D Kelleher, Brian Mac Namee and Aoife D'Arcy, The MIT Press 2015brThis book not just explains the basic ML methods to you, it really shows the right METODOLOGY, which is extremely important It represents everything you need to know about the basic non-deep methods (regression, classification and clustering), including some theory and the detailed explanations My DS course was too hasty, and I didn't even realize that I don't have to encode categorical variables for Decision Trees and Random Forest until I read this book!br3 "Hands-On Machine Learning with Scikit-Learn, Keras and Tensorflow" by Aurelien Geron Grab only the 2nd edition, it describes Tensorflow 20!brAwesome book Simply awesome We have used it in our course for Deep Learning, and it describes them all: ANNs, CNNs, RNNs, even encoder-decoder and many others All with good and working examplesbrbrOf course, "Deep Learning" by Ian Goodfellow and others is a great book, but I feel it's too academic I guess nearly half of the material you will never need, but who knows? I will take it after I will know the Top 3 extremely well "One-hundred page book" is a great reference once you already know all the details, but not earlier And while I am very grateful for Wes McKinley for Pandas, I still prefer Theodore Petrou's "Pandas Cookbook", since it has everything I need, well-described and with good examples
Comment from : @ilyaginsburg1888

I Want to start machine with all vigir but I didn't knowwhich books to usebrThank you soo much for the insights
Comment from : @emmanueladdo8131

Great please can I get your e-mail So I can have a personal chat with youbrbrMine is : addoemmanuel175@gmail com
Comment from : @emmanueladdo8131

I have just finished python machine learning third edition What should I read next
Comment from : @QuangBui-by6bh

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:)
Comment from : @ooow333

Hi Daniel, can you please make a video that tell us about your desk? I see that the brand is varideskcom, but I don't know which model Thanks
Comment from : @0xh8h

Another good book is d2lai
Comment from : @wolfisraging

Hey Daniel,brDo you have the second edition or first edition for Python for Data Analysis?brThanks
Comment from : @ChristianMora

nt
Comment from : @raptoric6436

Great recommendationWould like to also get some tips on developing GRIT to Get through ML Journey
Comment from : @gandapur123

Hi guy, I have a question I am about to write a research paper with machine learning , but I am not so good at Math Is it okay just to use machine learning approaches like SVM, KNN, Random forest ?brWithout good understanding of Math, it’s hard for me to create a model brI’m new to machine learning , guide me if I misunderstand about this? Thank you in advance
Comment from : @chournsolidet5406

Hello sir iam applying phd can I have your email please ? I want asking you about my topic thesis
Comment from : @user-nf7iu2qg4b

Hey Daniel, how did you get started with coding/maachine learning? college or self taught? Your videos are awesome!
Comment from : @kosi5

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
Comment from : @mariozamora1369

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
Comment from : @TheBjjninja

I have been subscripted your channel thanks for all the books your advice
Comment from : @expeng5861

I can really recommend Trask's book Will continue reading it while travelling :D
Comment from : @JousefM

thanks
Comment from : @alvaroalfonso8754

The way you speak sometimes feel like Billy from strengerthings , or are u Australian?
Comment from : @devawratvidhate9093

Nicep
Comment from : @ashishchourasia3721

Am a beginner in this field and your video is so helpful for me now so i would like to ask you which book should I read first and so on until the last one?
Comment from : @basherbgw2858

Machine learning for humans is really good brI'd highly recommend this
Comment from : @devprakash5320

Thanks for the recommendation on Trask's grokking DL book, I'm having fun with it (most of the others I already have :) )
Comment from : @lisaencisco7749

Do you need to know "general" Python before going into machine learning?
Comment from : @miguelmedrano99

thanks for the video, can you suggest some books for deployment of machine learning model?? i am building a portfolio and i need to learn model deployment thanks :)
Comment from : @MRBUCK_MAN

A few more books worth reading (particularly if you need the theory) :br- Pattern Recognition and Machine Learning by Chris Bishop : This is probably the best theoretical book on ML, and it is used as the standard textbook in virtually every single graduate course in ML It can feel overwhelming at first, but it is worth exploringbr- Machine Learning by Tom Mitchell : This is one of the oldest books on ML and also one of the best to get foundational knowledge about the topic It doesn't cover any fancy algos since it was written in the 90s but it introduces concepts that are still used to this day Highly recommendedbr- Machine Learning A probabilistic Perspective by Kevin Murphy : very long book, not highly mathematical, but covers many algos and methods It is highly regarded by the community as wellbr- Elements of Statistical Learning : another standard textbook in statistics oriented classes It teaches most fundamental concepts in ML but in a highly rigorous mathematical way You probably need some maths background to approach this one Otherwise, there is the more practical and easier version of it called Introduction to Statistical Learning baby the same authors (using the R language)brbrMost practical books were mentioned in the video except : br- Deep Learning with Python by François Chollet : Chollet is the author of Keras, and this book is a perfect practical introduction to deep learning using Keras in Python Using Keras allows you to focus more on learning deep learning than learning the programming framework This is because libraries such as Tensorflow and PyTorch have steeper learning curves, and Keras was developed to overcome just thatbrbrApart from that, great video !
Comment from : @samyrayness2154

Great video thanks for sharing! Recently got a few of these books myself :)
Comment from : @samuelkellerhals5942

Recommend some books regarding math for ml, data science
Comment from : @manojpawarsj3329

Excellent video! Thanks so much for the clear and concise reviews as well as the links Very helpful!
Comment from : @raould2590

How much time is needed to learn machine learning or deep learning from scratch?
Comment from : @ananthakrishnan9186

Any recommended book on ML/DL with FPGA implementation?
Comment from : @aliuzel4211

This video was really informative Well done Daniel :)brbrbrOne recommendation:brIntroduction to Machine Learning with Python by Andreas C Mullar (core developer of sklearn) and Sarah Guidobr wwwamazoncom/Introduction-Machine-Learning-Python-Scientists/dp/1449369413brbrbrDespite it is a little old book and many functions used in this book either renamed or deprecated, this book talks more about practical issues about deploying a model in to work After reading the soft copy I collected the hard copy
Comment from : @harishpashadipto1675

Hey, I was wandering for buying a GPU I have some question that what sort of the GPU provider (MSI, ASUS, Gigabyte, EVGA, Zotac) is best suited for the ML model training I have an MSI RX 570 card How'll I set up my station for training?
Comment from : @castmez

Ray Gillette doppelganger! XD
Comment from : @DJVARAO

Cheers to Daniel, Keep leading and finding the best resources for you (and us) brLearning happens different for everyone but you help show how to gut it outbrand get substantial amount learned in a short period on you path to success
Comment from : @jetlife9456

Is there any book that's akin to The Hundred-Page Machine Learning Book, but more on the topic of Data Science?
Comment from : @empty4est

Thanks for the links!
Comment from : @nathanlewis42

Very nice video, few statements are well said Turns out that scikit tensorflow O'Reilly book is very highly rated amongst the community
Comment from : @moinakbhattacharya878

Thanks for the inspiration
Comment from : @kenyup5424

Sir, How can i start machine learning??? What are the things is necessary to start step by step???? Thanks in advance
Comment from : @jewelchowdhury9752

thank you for good books, any tutorial or demo videos? or maybe favorite websites for data science beginner
Comment from : @larryteslaspacexboringlawr739

Hands on Machine Learning is outdated as hell Codes for Tensorflow will not work, a new version of this book is about to be released for Tensorflow 20 which will also include a few bits of Keras and it has Francois Cholette as a co-author
Comment from : @SalihFCanpolat

What's your Github? We can code review your code
Comment from : @felixg4785

Nice video Here are some other books that are worth reading/studyingbrbrbr1) Elements of statistical learning (if you have an advanced math background) or Introduction to Statistical Learning by Tibishirani et albr2) 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]br3) 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)
Comment from : @madhavpr

My university used Artificial Intelligence: A Modern Approach as textbook, so i believe that this book is good enough
Comment from : @MIT60346

Your books are in new condition, did you read it?
Comment from : @grijeshmnit

Hi, I do love your books I am totally beginner and now working on medical data ("big" data) Could you introduce me some books that fit to me?
Comment from : @VuHongNamMD

None of them are available in India
Comment from : @NarendraYadav-qz7gm

Great content, thanks Daniel
Comment from : @cauaveiga

It's not about what ml is now, it's what they can become DL bring the most likely culprit in my mind I know dl is ml, but dl seems like the most likely culprit
Comment from : @xavdest5481

i dont often comment but your work is really good n must appreciate!!! Thank you for helping fellow like me :)
Comment from : @2mitable

Which one is the perfect book for someone who has just started learning ML Which clears the basic! Thx
Comment from : @siddharthshorya4912

The Element of statistical learning gang ?
Comment from : @ilyasaroui7745

I expected Introduction to Statistical Learning but still a great list!
Comment from : @benjamincabalona9014

Excuse me bro would u like to tell me about the pc configuartion for ml or ai please i want to build a pc for ml ,ai focusing
Comment from : @KashimMirza-vq5ik

Daniel, I have something for you to watch brbr youtube/5MgBikgcWnYbrbrPlz reply your opinion on it If possible a video
Comment from : @ankkol2011

Thank you Daniel !!
Comment from : @ravindrashinde9326

Great video again
Comment from : @ankkol2011

Thanks broo, Great work!
Comment from : @rguibizakarai907

Knowledge is power
Comment from : @paulgarcia2887

What draws me to your channel is your Honesty!! You never exaggerate the things Nice video AS ALWAYS
Comment from : @thanmayideepthi6593

I saw this channel at 5k subs and in a month it has crossed 12K, so cool!!!
Comment from : @ps8883

9:20 "You should be reading at all times a book that is slightly too hard for you to read" 😊 Well saidbrI like discovering books on my own but I also like hearing about the books other people find useful Thank you for sharing your recommendations I've only read two of these books so far brHave you read "Mastering Feature Engineering" by Alice Zheng? Do you have any recommendations on books about feature engineering?
Comment from : @BiancaAguglia

guys wait for the 2nd edition of hands on ML, its right around the corner
Comment from : @albertog2196

I think that An Introduction To Statistical Learning is a great piece Great for starters
Comment from : @blacklabelmansociety

Great list! Thank you for sharing I would like to recommend "Python Machine Learning - Second Edition" by Sebastian Raschka and Vahid Mirjalili This books really achieves a nice balance between practical implementation of ML models using SKLearn and the gory algorithmic/mathematical details
Comment from : @andrewboho6157