Is this still the best book on Machine Learning?

[@gilesmcmullen]

Check out my video on the Titanic dataset - I think you'll like it kzbin.info/www/bejne/iZfJnHWZZrKEapI

[@KenJee_ds]

I just finished this book, and can confirm!

[@gilesmcmullen]

Thanks Ken!

[@ilyasikm]

What confirm? Please told me

[@studio623]

@@ilyasikm Ken Jee agrees with the opinion / review expressed in this video.

[@yasarahmed2916]

hi ken i have just started learning with this book , iam getting errors in executing the program "End-to-End Machine Learning Project" please provide me soluton

[@siddharthmagadum16]

Hey ken jee, i know python at medium level, can I learn from this book?

[@XOPOIIIO]

I was almost a beginner and it was quite hard for me, though with patience and a lot of googling I've been able to understand everything. Actually the challenge was enjoyable for me.

[@kanishka2965]

what book then you refered to

[@keyo3945]

I remember when I wanted to get started with machine learning, I remember when I saw your video about the first edition, that I decided to study the book and start my journey in Machine learning. I loved it and I learned a lot, it covers everything I needed at the time. I am running my own business now and I really owe it to both you and the author for this wonderful book. thank you so much for everything you are the best🤗

[@gilesmcmullen]

Wow, I'm so pleased that it was helpful!

[@nobrainer69420]

What kind of business did you start?

[@keyo3945]

@@nobrainer69420 first I trained an OCR for the Kurdish language. and now we are trying to work on lots of other projects that nobody has done for this language. so mainly my business is focused on data science services that could help the Kurdistan's companies and the government.

[@nobrainer69420]

@@keyo3945 Sounds amazing wish you only the best for the future!

[@akhandpratap__]

@@keyo3945 I am also doing some real world projects Would love to connect with you on Linked In I am from India and native language are facing lot of problem because of not much technology solution available.

[@datamike7457]

Exposure to end to end machine learning is so important. Too many resources intended to teach beginners aren't comprehensive enough to give people actually valuable skills. Great review!

[@abhishakelahiri]

Add to that the github repository of this book.. Even more detailed..

[@duckmeat4674]

@@sumit5102 youre a smart person, its easy to find

[@Amir2Mahdi]

For the record, as it has mentioned in the book: "This book assumes that you have some Python programming experience and that you are familiar with Python’s main scientific libraries-in particular, NumPy, pandas, and Matplotlib". Thanks for the review

[@swaraj2235]

Currently I have completed first part of this book. It's really amazing. Anyone who have some basic knowledge about python, numpy, pandas etc and some mathematical knowledge about linear algebra and vector calculus, can blindly go with this book.

[@nitinsharma6808]

Hello can you guide me from where i can buy the book in india ??? I am worried as some people share the comments that they are not receive a genuine copy.

[@shivakumarpendem7871]

I love this type of content where you keep it short and get to the point and good mentoring on what to choose ! You are amazing Giles 💞 🙌🏻

[@Spida7]

Been focused on mastering Pandas as well as I can for the past year. Look forward to upping my game with machine learning and purchase this book and dominating the project in Chapter 2!

[@rushikeshgandhmal]

Few days ago finished part 1 of this Book (Fundamental of ML) As he said this is not for complete beginner. Before diving into this book, have a little bit knowledge of Numpy, Pandas, Matplotlib. My experience says, first do some practical. Then, to know about how exactly Algorithms work under hood read this !

[@coderaven1895]

whats the first part of this book ??

[@emadgkamel]

@@coderaven1895 the book itself divided into two parts

[@bassamal-kaaki3253]

Well I can say it is a bit advanced for a beginner, but with readings here and there including this book, things become easier.

[@anandpawara4048]

Got second edition book delivered today, I am pretty excited to dig in, also my first ML book from my first salary as Computer vision engineer

[@zeinat2233]

Same, I got mine delivered today

[@HumbertoMoura]

This book is amazing! I love the two versions. Another good book if you need a small one (for reference) is Machine Learning Pocket Reference (Matt Harinson, O'reilly)

[@weitaotang5702]

This book brings me to the domain and contributed to my shifting of major in the Ph.D. stage. Now I am suffering from Bayesian probability and optimization. And I just realized my most recent research idea has been put on arxiv by Alibaba two weeks ago.

[@sohailalexander4681]

Keep these reviews coming pal. You’ve given me and my colleagues a clear direction

[@adrustamm5828]

I am surprised that there is no affiliation link to buy the book in the description, not that I would have any problem with that, I would just have used it, thanks !

[@realelectron]

Yeah, I was looking through the description. I would have bought it through the link, one way to support without simply liking the video.

[@anto1756]

I'm just downloading it for free right now lol

[@piokany8566]

@@anto1756 Do you think it's morally right, It's hardly going to affect your sleep.

[@anto1756]

pio kany not really, because I don’t even have 30$ and I need this for college 🤷🏻‍♂️

[@vikranttyagiRN]

@@anto1756 is the new version available as Pdf online?

[@sakshamtyagi154]

I literally was reading it just before watching this video

[@fernandonakamuta1502]

After 3 months I just finished the machine learning part of the book, so far the best material on ML i have ever studied. Incredible didatic, incredible notebooks, incredible topics. One nice improvement on this second edition are the colorful graphs, they really make visualizations a lot better and easier to comprehend. Now moving to Deep Learning part 😄

[@AnotherproblemOn]

Hey ! Thanks a lot for that comment (and thank you so much for the video Python Programmer). I am leaning towards buying it. I don't have the math background that comes with it but i'm interested (i basically have a CPA background, and am currently doing of PhD on A.I. effects on CPA). Do you think I can go with that one ? Would you say it's worth it ? Thank you so much in advance. Best,

[@fernandonakamuta1502]

@@AnotherproblemOn It really helps to have some experience with Python programming, especially with Pandas and Numpy. If you really want to understand how everything works under the hood, reasonable knowledge on calculus, linear algebra and statistics are required (But as the author mention in some chapters, it's totally fine to skip certain parts and come back later when you need some deeper understand.) The author also makes a lot of references to other books and playlists where you can go deeper into some math, like Bayesian statistics and optimization. Having the practical knowledge also helps when you decide to understand things under the hood... If you really struggle in some concept, you can ALWAYS find the answer at google or some cool channels like StatQuest. Always feed your curiosity and make your own learning journey, it's cool! It's a great investment! Don't be scared!

[@AnotherproblemOn]

​@@fernandonakamuta1502 Thanks a lot for taking the time to provide with such a complete and helpful answer :) ! I will definitely do my very best and am excited!!! Take care!

[@fernandonakamuta1502]

​@@AnotherproblemOn You're welcome. Good luck!

[@adeoyeoladipupoibrahim3066]

@@fernandonakamuta1502 what resources did you use to learn the math

[@albeedoinstuff5509]

I just made to thru chapter 3 motivated learner as you described. I went thru a few crash courses on python but am loving it!

[@Adam-cn5ib]

thanks for not wasting time with a 15 minute video that drags out time. Your opinion was set at the start with explanation afterwards (How it should be), so thanks you.

[@priyankamehta9426]

Short, precise and to the point review. Great review.

[@randomrobin6104]

That book really helped me alot, when I am teaching ML , I always use it as a guide

[@thehappycoder3760]

I have read it recently (a bit of a beginner) and I agree with everything you said. Not easy but covers everything.

[@leticiastello2599]

Thank you for the information. I've read this book and totally agree with your conclusions. It's worth it to always have it on hand

[@harikrishnamalyala6214]

Thanks for the book recommendation..I will definitely get it to get started!

[@adumont]

Jeremy Howard has just released on O'Reilly the Fast AI Book, Practical Deep Learning for Coders. FYI, probably a competitor for this book in the category of the best ML/DL book.

[@robosergTV]

its heavy on using fastai, you wont find many jobs using fastAI library

[@altruisticPing]

After your recommendation I've read this twice and I plan to read it again. It taught me so much about ML that I didnt know. And I thought I knew a decent amount before...

[@miguelcastillo1742]

I have the first edition and what I have loved the most about it, is how it teaches you to analyze the errors of your models. It has some details that is hard to find on KZbin or on any tutorial out there.

[@gilesmcmullen]

Couldn't agree more!

[@olehonufryk9529]

Got this book last December and it's amazing. A lot of good examples and explanations, a bit difficult for me cause I'm a beginner in ML, but I have background in programming and math, so I'm able to cover the material in my quality time.

[@MDjosh34]

The only programming I will recommend for any beginner is " Computer Programmer's Golden Book: Final words to the struggling coder". Read this book and every programming tasks in your hands becomes simpler.

[@ciscocert272]

Clear out few doubts I had regarding who would be benefitted most from reading this book ...settling for not faint hearted on ML but as well motivated individuals and determined . Make sense . Thanks

[@jsmit7730]

Waiting for my copy. Looks like a great book.

[@DecisionForest]

Great video, and I totally agree, although it's good for beginners, it's "Machine Learning beginner" friendly not "Python beginner" friendly as you need to have more than just the Python basics to get the most out of this book.

[@andrer3764]

Came across your channel for the first time and noticed your book recommendation from a year ago. My luck has it you literally are updating the topic! Have a question though: Do you have a suggestion on how to approach books? Read it? Read and do exercises? Was hoping sometimes to be able to sometimes just read the book and be off computer but unsure if that's still an effective way to learn. Looking forward to exploring rest of the channel!

[@gilesmcmullen]

Definitely do the exercises. Don't just read it, make sure you understand it. If you don't understand something, keep thinking about it until you do.

[@andrer3764]

@@gilesmcmullen Appreciate the suggestions! Will take that approach. Cheers.

[@_AverageGuy]

Found your video at just the right time. Much appreciated. Thanks a lot ♥️

[@nabeelhasan6593]

I have both editions, i love 2nd editions this book because of updated Tensorflow 2 code, color and quality of printing.

[@ollie6845]

Man you are very good. As a french, I love your great english accent.

[@debjyotiarr]

This is indeed a very good book. I had seen your previous video on the 1st edition of the book, but by that time the 2nd edition had appeared, so I went ahead and bought that. Still going through it and, again, it's a really good book. P.S.: Love your accent.

[@Amf313]

Your videos helped me a lot in the process of learning machine learning and Data science... Just wanna say Thank you 🙏🌹

[@gilesmcmullen]

You're very welcome!

[@arujbudhraja]

Well researched review. Thank you!

[@AlessandroBottoni]

Great review of a great book. Many Thanks. Nevertheless, I think the real question is: "Is this book still better of an online course (Coursera, MIT, Udemy, whatever...) a collection of online articles/tutorials or even of a selection of KZbin videos?" Or, even: "Is this *paper* book better than its digital counterpart?" Paper books became obsolete very fast and are impossible to update. The time you finish the book and the first chapter looks like a dinosaur... How would you compare a *paper* book with these *digital* alternatives? In particular, would you buy the *paper* version of this book or the *digital* one (the "ebook")? And, what about reading five different books, on five different *specific* subjects, instead of a single 800-pages book that tries to deal with all of them? I mean: a 800-pages books looks really intimidating...

[@maveriks463]

Would be interesting to know how this book compares to Coursera /Udacity courses what's the gap topics /concepts etc. I recall someone saying that the second part is helpful for the Tensorfow certification.

[@RC-qi6hs]

I have almost completed Andrew Ng's deep learning specialisation. Would love to compare those

[@maveriks463]

Hope you can get copy of the book and compare some time in the future and report back..

[@darkangel-gw4wk]

The first edition of the book is completely free on library genesis

[@NixonMAGESE]

I love this book. Just finished Chapter 2.

[@harshitmaheshwari8158]

Why these book covers have 🦎 pictures?

[@jennawilliams64]

Great review, I am checking this out asap. Thanks! 🤩

[@tryggviedwald1542]

In my humble opinion: yes. I’m using it a lot.

[@makhan3462]

This book is so awesome I have been using it for while. It's a great for a reference aswell.

[@Oswald_Anthony]

I saw your course, no machine learning, no deep learning and no A.I. So, you offer a traditional course. Coursera has great courses with doctor professor Andrew Y. Ng

[@sophial7317]

I really love this book as well!

[@Jon_Dang]

Perfect review, very salient points!

[@carloscruz2582]

Got it after watching you video. Thanks!

[@saurabhchoudhary4572]

Thanks man starting a book and getting to know it's not the best sucks

[@tear728]

Introduction to Statistical Learning in R is actually better imo.

[@surajaj7867]

Thank you Sir ❤ from India.

[@Popdad]

Loved your video. Buy kindle edition to reduce some cost of ownership

[@stephenmaharaj5230]

Good book for practical learning. Thanks for the recommendation.

[@manvirsingh3727]

Loved the video !

[@AqeelAbbasKhan-u1i]

I am a beginner and am starting this book.

[@patmtc477]

I read both books. I can confirm. Is there another book more advanced than this? Please recommend.

[@maveriks463]

Book is worth having but better to have read some other smaller introductuory books first. Also do some python, numpy etc first. Then dive in and absorb slowly. Some basic linear algebra would be helpful. Relatively cheap compared to many others.

[@DatascienceConcepts]

Great Insights! I would like to add the book 'Learning from Data'- Yaser Mostafa...If you are interested in the theory of Learning.

[@alenjose3903]

Love these book reviews , will surely look into it 😁👌

[@kshitijshekhar1144]

I think 90% of people who wish to learn anything significant, or anything even moderately complex, should learn it top down. Abstraction->details

[@manitahriri9204]

I am curious to know whether there is a book in mathematics specially tailored for Machine Learning beginner? Nowadays everybody saying you need little bit of math knowledge for Data Engineering and Machine Learning. However nobody mention which level of math is required to start. Which level of Algebra? Which level of Probability? and so on...

[@sayakbhattacharjee3183]

I would like to know that too..

[@CheeseOfMasters]

I think you should search specifically for a math book for computer science, statistics or something like that. Don't know if there is one specificaly for machine learning.

[@jasper909]

If you want to understand the theory behind all Machine Learning concepts you'll need to know linear algebra and multivariate calculus. There's a specialization by imperial college London called 'mathematics for machine learning' available on Coursera which covers both topics.

[@waleedazam6916]

Great Work, buddy :) I personally like this edition though.

[@adityakrishna11]

Thank you for this video!

[@juleswombat5309]

Certainly a great book. Worth buying twice.

[@nirajabcd]

I have both versions and am proud that I own both of them. Hands down the best book on ML. If you are looking for Deep Learning only, I would recommend Deep Learning with Python by Francios Chollet.

[@dude5399]

Would that deep learning book by Chollet be an appropriate next step after going through this ML book?

[@nirajabcd]

@@dude5399 That's what I did. This book gives you the foundation of ML in general along with DL while Chollet's book is solely focussed on DL along with tips and tricks to build custom model. I suggest you to wait for the 2nd edition which is work in progress.

[@carlitos4505]

This is an awesome channel and great content!

[@gilesmcmullen]

Glad you enjoy it! Thanks.

[@andrewchen1744]

Thank you for sharing! As for me, this book is the king of ML!

[@-es2bf]

How does that book compare to sebastian raschka's?

[@sureshkumar-kx2xz]

Excellent! I am a Neuroscientist at MIT with some background in MATLAB programming. I have been searching for machine learning books and found this video. Do you also suggest this book for people with limited programming, math, coding background? If not, could you suggest books for broader audiences having some coding and no coding experience? In any case, I am going to use this book as I like to challenge myself with difficult books and topic :) Thanks for your video!

[@LuigiZambetti]

When you have to learn something new, do you prefer books o video tutorials?

[@willianbarreiro9925]

Hello my friend, how's it going? I'm enjoying a lot with your channel, I started to learn Python and I'm working as a Networking Enginner and Python has been useful for me to solve my problems. By the way tell me the name of that book TCP/IP in your background

[@doglover3133]

agree, it is that and Mitchell

[@samidelcueva]

Sounds amazing!

[@pranavgandhi9224]

Thankyou very muchhhhhh sir for your reviews on these books...

[@machinelearningjourney1006]

yes still the best for practical approach!

[@amirmohammadjalili2676]

I confirm everything you said.

[@DavidRussellM]

Hi Giles, I am practicing programming to improve the world through data science. Your channel and recommendations have been sublimely useful and appreciated! I was wondering what your thoughts are on code academy as a learning tool for beginners?

[@bhargavrathod4833]

Just a question; Does it have like colour printed pages ? That's an extra motivation to read more for me !! Please answer to that!! Thank you for posting such an amazing book review !!!

[@frrancoisss]

Yes, second édition is color printed, I agree with you that's such an extra motivation Do you know other color printed ML books ?

[@frrancoisss]

Yes, second édition is color printed, I agree with you that's such an extra motivation Do you know other color printed ML books ?

[@09937vickydicky5565]

How is the book - Machine learning by Andreas Lindholm

[@ahmedyamany5065]

This book is really good, I have almost studied it, however the section of deep learning still need more improvement, aslo for deep learning, "deep learning with python" for François Chollet is really good book and easier and has more details for who is interested, thanks for interesting videos

[@gilesmcmullen]

That's a good point. I'm going to cover the Chollet book in a later video.

[@ahmedyamany5065]

@@gilesmcmullen thank you

[@ogunsadebenjaminadeiyin2729]

@@gilesmcmullen Please share the link to the new book, thanks.

[@PritishMishra]

I just bought the first edition when I didn't know about this books 2nd edition !! 🙄 Now I am regretting this

[@igorrocha1845]

'-'

[@MaherShahzalal]

Although I am a web developer I found it so difficult.Honestly, this was the only book I couldn't understand the content between many software development books.I guess the AI contents is somehow difficult

[@lahirulowe4752]

As always love the videos❤️❤️❤️.... Do a comparison between this book and python machine learning by Sebastian Raschka...I think it would help a lot of people!!! Love from Sri Lanka 🇱🇰

[@moularaoul643]

Thank you so much!!

[@muhtasirimran]

I want a bit of advice. I was planning to get started with ISLR 2. But, this book is also great. Which one will you recommend to get started with? Note: I'm really motivated enough to learn machine learning.

[@anikgupta3929]

Hello, Thank You for recommending the books! Wondering if you can advise which books to study in an order to learn basic Python, intermediate/advanced Python, then ML, then Stats and then Maths? Wanted to study one book at a time that’s related to Data Science. Otherwise, it’s overwhelming to see all good book options yet can’t study all books just to learn Python only. One book would be great for respective subjects like Python, ML, Stats and Maths, etc. Thanks,

[@lucas-vq3qe]

Great video. I have a question, is 2020 a good time to learn data science and software development? We know that gpt-3 exists

[@kunchen6908]

this is the best book I;ve read about ML. it is not hard.

[@gilesmcmullen]

Learn Data Science Fundamentals with 365 Data Science (affiliate link) 20% off bit.ly/3hbUHdd

[@yasarahmed2916]

hello sir i have just started learning with this book , iam getting errors in executing the program "End-to-End Machine Learning Project" please provide me soluton

[@tomasemilio]

this is a great book i have the hard copy,

[@hasturyellow1225]

Could you recomend a book/resources covering super basic examples of coding python machine learning from scratch without the need for importing the main modules.

[@jorgecruz4839]

Hi! Thank you for the recomendation! A couple of months ago I got very interested on this subject and I have already learned the basics of scikitlearn. My main interest on machine learning is a personal project that involves video analysis and recognition. Do you think this book can help me? Thank you in advance!

[@gk3862]

Could you say what is the best book for Deep Learning? Especially for PyTorch?

[@ArpitSingla37]

Hi Giles, I have been watching your channel for quite a while now. I have started reading this book in order to learn more about ML. I am now starting with chapter 3. But, I have a question and it is that "How do I use this book in the best way?". Just reading is not enough (after reading 2 chapters and not writing the code), so, I think I should start writing alongside the chapters but that will take a long time to finish each chapter. So, I was wondering who has read the book before, he might be able to tell what is the best way to go about learning ML through this book? Thanks for posting such good reviews and resources about ML and python! Hope you will see this comment soon! @Python Programmer

[@kshitijshekhar1144]

nahi hoga bro. banda kabhi reply nahi karta hai

[@JoBaysal]

very good, your explication is very good

[@leo_and_his_bikes]

I'd like to buy this book. Is there any info about a possible third edition incoming?