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КОМЕНТАРІ: 314

@angelferhati 9 місяців тому

The name of the book : An Introduction to Statistical Learning

@pepenavao 9 місяців тому

It's in the links on video's description

@patrickbg110 9 місяців тому

This guy really made an entire video about a book without mentioning the book’s name lol

@Curious.Intellectual 9 місяців тому

@@patrickbg110🗿

@yuurishibuya4797 9 місяців тому

Lol😂

@punkisinthedetails1470 9 місяців тому

@@pepenavaodon't you have to buy it - looks like an Amazon link not a PDF link

@suzannecarter445 8 місяців тому

Regarding why it's free, when I worked for state government in the U.S., I was told that, if the University received Federal money for the project (software, textbook, online course, etc.), the University could not charge for it. This is why you can get some marvelous things for free if you know where to look. I recently downloaded an MIT graduate school textbook on complexity theory for free.

@EngineerWallah 8 місяців тому

Where should one look if you don't mind me asking? Also, do you have any other resources that you have come across that are amazing?

@jossvo951 7 місяців тому

@@EngineerWallah same here!

@mikemc6674 7 місяців тому

It would be wonderful if the same logic were applied to pharmaceuticals and healthcare procedures

@Kiki-qh7xk 6 місяців тому

he is gone with no answers, and all books

@vitormellogon804 6 місяців тому

thank you for your perspective, it is really valuable to know that!

@bassoonatic777 9 місяців тому

Excellent! Glad to see it come out in Python. When I went through the 2nd edition, I just forced myself to learn it both R and then translate it into Python because there wasn't an option.

@dadaabiola2474 9 місяців тому

Always a pleasure listening & learning from You Bro! Little wonder you are successful at what you do!

@neilclay5835 9 місяців тому

People thinking that they're going to be able to leverage the info in those books without the necessary maths skills to do so are going to be sorely disappointed.

@user-xr7ou1xf9x 3 місяці тому

Yep, it should have been mentioned in the very beginning of the video. Data Science is a Science and based on high math. From linear algebra to statistics and calculus.

@millerdane 9 місяців тому

Thanks so much for your book recommendations as always.

@millerdane 9 місяців тому

Truly appreciate your recommendations

@andreyzhuchkov1882 9 місяців тому

great transitions from frame to frame, it's a pleasure to watch. An example would be the way you introduce a stack of papers only to pick it up later thus creating a mini storyline.

@thegoat5141 9 місяців тому

I was looking forward to seeing a shot from under a table.

@jjlalamcmc 8 місяців тому

I just stumbled onto your channel and in 1:50 I love your thought process. ISLR was the BEST book for data science, focusing on R, that I was assigned while earning my MS in advanced data analytics. Making It Stick, was the BEST book I read to help become a better teacher. I often thought it should be required learing for ALL teachers and learners.

@rogerc23 7 місяців тому

That’s not the name of the book. If it was so integral to your life don’t you think you should know the actual title?

@jjlalamcmc 7 місяців тому

@@rogerc23, ISLR and ISLP are the SAME book, the former written for R, the latter Python.

@wissenistmacht6685 9 місяців тому

I have read the book last year during my university course focused on machine learning. It gives a pretty good understanding for machine learning. But to become a data scientist you need Python or R, SQL and shell scripting and most important: practical experience in those languages. Even the best book doesn't help if you don't apply the knowledge.

@FsimulatorX 8 місяців тому

shell scripting? no you don't lol Not necessarily at least. Domain knowledge is way more important

@LesserAndrew 8 місяців тому

Domain knowledge is key to a given career area, for sure. But when I'm reading resumes, I do enjoy finding someone who knows all three (R, SQL, and bash). Though I can teach the latter two on the job if needed.@@FsimulatorX

@Jeff-ih4rk 3 місяці тому

@@FsimulatorX what is domain knowledge ? (is i'm a nerd, but want to hear your perspective

@fotisj321 3 місяці тому

@Jeff-ih4rk data science is often depicted using a venn diagram showing the intersection of computer science, statistics and domain expertise. Domain expertise is the knowledge in the field you are doing data science in. If you are analyzing business data for a large online shoe producer, your domain knowledge is economics and shoes (and maybe online marketing). If you are analyzing climate data, climate research is your domain expertise, etc.

@naybaz7777 3 місяці тому

In my case, i forgot all the heavy math staff from the book after 6-8 month. Ofcourse, there are general familiriaty with all the concepts and models, but if you not digging it deeply everyday, its just vanishes. Maby it's the way to go if you are not working in academia, research or inventing new data algorithms. Or maby its just my brain throw it away, since most time its about data cleaning and tuning scikit-learn models( i am just a hobbiest doing it for fun, not a professional in the field)

@wedidntplanthis 9 місяців тому

i loved this ending, first concise video I've seen in a minute

@stepbro1992 8 місяців тому

Brilliant video. Very short and informative. Well done ❤🎉

@JawwadHafeez 9 місяців тому

I completed this coursework many years back when online courses just started. Its wonderful. I created a basis for all my future work.

@adityamatele16 3 місяці тому

YOU! Have such a great voice. It makes a person wait and listen to you. Really as a non subscriber, you just pulled me towards the video. Appreciate it.

@SlavkosHobbyChannel 9 місяців тому

Always enjoy watching your videos!

@moazzamjadoon4436 9 місяців тому

@jackbluesman9223 9 місяців тому

Do you have a list/repository of all the books per subject recommended by SOA?

@purecheese9012 6 місяців тому

@@jackbluesman9223curious to know as well

@TheCJD89 9 місяців тому

I'm glad you've highlighted these excellent books. The statistical learning book has been around for a good number of years and is well-regarded by those who know it. I have read parts of it before and I've recently gone back to read it again after the Python version was published! :)

@seanmclaughlin7415 6 місяців тому

What is the Python version called?

@TheCJD89 6 місяців тому

@@seanmclaughlin7415An Introduction to Statistical Learning: with Applications in Python

@ahbarahad3203 9 місяців тому

I read half of this book last year, It probably is the best book out there to study machine learning from ground up and build intuition for it, Fun Fact, one of the authors of this this book(Daniela Witten) is the daughter of Edward Witten(the physicist) iykyk

@michaelrudert3406 9 місяців тому

Thanks for this hint. I downloaded it alredy for R and Python from the webpage. 👍

@mousquetaire86 9 місяців тому

That book is meant as an prerequisite to their other book: Elements of Statistical Learning

@12567NoYouCannot 8 місяців тому

Loved, Loved, Loved this Content. Thank You.

@radspiderjackson 9 місяців тому

my question tho, if you're already "bad" at solo studying/self teaching and you're stuggling to maybe learn something specific, is it then still worth it to try learning the methods taught in 'Make it Stick'? Like does the book take into account the process of learning what its trying to teach? mostly silly question but I do want to get a copy of the book either way, its just that I have books that i felt would speed up my process of learning certain comp science topics, specifically the book 'Code' by charles petzold, but i cant bring myself to finish these sorts of books even knowing it would make learning everything related after the fact so much smoother.

@elizabethingram9784 9 місяців тому

Thank you! Subscribed. 😊

@sammclaren6965 8 місяців тому

Thanks for the information!

@fiftyplusgamer 9 місяців тому

Love ur channel. Just a question what mic are u using?

@pikiwiki 9 місяців тому

crispy, fresh approach. Nice

@fernandai.b.140 9 місяців тому

Thanks, this info is valuable information 🙌

@DSFran 6 місяців тому

I love this book. I have the first one in hardback (the R version) and I’m considering buying the Python version too.

@Flamechr 9 місяців тому

The video course can also be recommend. Posible the best teachers I ever had.

@kingofcastlechaos 9 місяців тому

I have that book on Audible and it is awesome. I recommend it to so many people and now realize I want to listen to it again. Changed my life- I just wish it had happened to me when I was 12. Great video, thanks.

@melyder2316 8 місяців тому

THE NAME OF THE BOOK PLEASE ?

@AndrewTateTopG1 6 місяців тому

@@melyder2316 did you find out?

@TheD112 9 місяців тому

Awesome recommendation for getting a professional experience after completing chapter #4 and becoming ready for a job market 🙂

@PeterAdiSaputro 9 місяців тому

Thanks for sharing this information.

@oguve278 9 місяців тому

I've been waiting for the Python release for a while now, good to see the softcopy finally be available. Though I'm still on the lookout for an affordable hardcopy when it happens...

@igordemetriusalencar5861 6 місяців тому

It was an absolutely beautiful surprise to see that ISL book has a version with R programing language examples!!! Thank God!!!

@abhishekajay9729 8 місяців тому

ESLR and ISLR are one of the best statistical learning books out there. Read both of them during Data Science and Data Mining classes in grad school and I still go back to them!

@LesserAndrew 8 місяців тому

Agreed! I read ISL during a beach vacation years ago when I was learning data science. I still turn to ESL for reminding myself of the intricacies of a given algorithm.

@Dionysus-01 8 місяців тому

@@LesserAndrew What's ESL?

@abhishekajay9729 8 місяців тому

@@Dionysus-01 elements of statistical learning. Profs Tibshirani and Hastie’s original stats book. ISLR is an easy to understand interpretation of ESL by their PhD students. Once you read ISL, ESL is the book to move up to for a deep dive on those concepts. Really heavy on the math yet intuitive.

@Maphew69 9 місяців тому

Great video. Have subscribed to Brilliant and it is very aptly named. Thank you

@pipertripp 9 місяців тому

Giles, thx for sharing that "Make it stick" book again. I just went ahead and bought it through you affiliate link. Should have done it the first time you recommended it. Better late than never.

@VaibhavSharma-zj4gk 9 місяців тому

Please mention the link to the free book.

@guilhermeteixeirademello4907 9 місяців тому

This book is amazing! I have already read the R one, but this in Python has the potential to be the best out there! Thank you for sharing this with us.

@confidential303 8 місяців тому

Which book

@AndrewTateTopG1 6 місяців тому

@@confidential303 which book?? where to find it?

@thomasfsr 3 місяці тому

I used this book to study for the micromaster program of MIT. Glad to know that now we have a python version at last!

@benny9794 8 місяців тому

How nice that my Data Science course for engineering uses this book :)

@vivekjoshi3769 9 місяців тому

Since you have put dataquest in the description I would to know your honest review of dataquest as a learning platform for data stuff.

@Amir2Mahdi 9 місяців тому

Where can I find answers to the exercise sections in the book?

@nnvananh 8 місяців тому

he got a really nice and clear voice

@heretolearnnewthings 8 місяців тому

the video tutorial for python version will release on summer of 2024 on edx platform.

@delliscool4924 Місяць тому

Thank you sir , the way you propose the scientific material is interesting.

@TheKarthhh 8 місяців тому

Thanks for sharing

@kibalamajames4813 9 місяців тому

Thanks a lot!

@pipertripp 9 місяців тому

oh yeah, it's ISLP instead of ISLR. I have the latter and yeah, it's a great book! I worked through some, but I was completely lacking in a stats background of any kind, so I pivoted to learning statistics which has been great. I'm a big fan of R, but Python is a great (and more broadly applicable) language too. The R version is a bit dated now as there are more modern packages that are easier to use, but the fundamentals are all there and it's definitely a book worth having. I'm sure the Python version is excellent. The R version even has supplementary videos where the authors talk through topics. The name of the channel is datascienceanalytics.

@paulfitzgerald4625 7 місяців тому

Me too. I quickly got lost. Where did you begin your statistics journey?

@pipertripp 7 місяців тому

@@paulfitzgerald4625 I bought a used statistics book on thrift books. I bought Probability & Statistical Inference by Hogg & Tanis. It's a good book, but it expects a couple of semesters of calculus from the reader. If you want a more standard "intro stats" text book, Statistics for Business and Economics from Cengage is much more accessible and requires a much more modest background in maths. It covers a very wide range of topics and statistics and is aimed at undergraduates.

@daveoatway6126 8 місяців тому

Excellent presentation! And great ideas for "how to get a job" that helps new programmers and non-profits. I've had my company do pro-bono work for several non-profits - very rewarding work! Thank you.

@Peter-lv5sl 6 місяців тому

Hey any advice on how to get started on something like this as a student studying data science? Looking to try gain some real world experience!

@millerdane 9 місяців тому

PS: you should also put the links to the books in your descriptions.

@angelferhati 9 місяців тому

i found the name of the book: An Introduction to Statistical Learning

@patrick07124 9 місяців тому

he already did

@andredoestech 9 місяців тому

And the for then edx course you have to google: An Introduction to Statistical Learning edx

@paulfitzgerald4625 7 місяців тому

Does anyone know where the answers to the exercises can be found? Just so I can check I'm on the right lines. Are they in the printed book perhaps?

@dirac9 6 місяців тому

What a resource! You've just gained a subscriber. And thank you to the authors Hastie, James, Taylor, Tibshirani, and Witten.

@sebacisterna 7 місяців тому

FYI: The affiliate link for the amazon book is broken :(

@e555t66 8 місяців тому

Huge fan of brilliant. Have done the ISLR course. It is really good. I would recommend the MIT Micromasters in SDS after that. It is not free. But you get 90% financial assistance if you are eligible. Each course is 300$ each. There is a finance Micromasters too. Each course is 450$.

@charltoncates5824 4 місяці тому

So lucky to have found this video, I will find the book tomorrow morning and study it before work

@morrismuuo1129 9 місяців тому

where can i find the book?

@NomadicBrian 12 днів тому

Regarding Stanford I'd like to add a great experience I had with free classes some time ago using Java. These were recorded sessions and a course outline and links to source. I was searching around for a refresher on Java because I got a book on Mobile app development with Native Android. The book was using Java at the time (these days it is Kotlin for Android). We built a number of applications and it was a lot of fun. Could not believe they offered this for free and there was a substantial amount covered.

@CaribouDataScience 9 місяців тому

BTW, the course is also available for R.

@edwinchuy9367 9 місяців тому

I actually came across both books yesterday before coming across this video.

@zeusdelta2842 9 місяців тому

sir i have a question Did hackerrank profile of python, dsa, linux and math will help for better placement? An edge over others?

@yippykayyay 9 місяців тому

link to the book/course?

@ShahameedaliAgni 8 місяців тому

Can anyone please hare the link for this book?

@oximas-oe9vf 9 місяців тому

QUESTION: how do I find non profit componies and charities to contact ?

@chanson8508 2 місяці тому

Great vid! I wanna go learn it now!

@salh2665 9 місяців тому

❤هل يمكن ان تضع برنامج الدراسي ودروس والكتب لتخصصات بيو مدكل ميكاترونكس والاتو ميشن😊😊😊

@bobanmilisavljevic7857 9 місяців тому

Wow thank you so much!!! Ain't no party like a python party!! 💪🧙‍♂️🌌⌨️

@giorgos-4515 9 місяців тому

where is the complementary video course he is talking about?

@mohamadnajm1465 9 місяців тому

Hi I don't see the link of the course Can u provide it Thanks

@datawithtess 2 місяці тому

Best book on machine learning. Quick tip learn statistics first. Then learn mathematical statistics. The read a 100 page per month in 6 months you are ready . Then build projects

@efeveesse 8 місяців тому

You've just got a new follower 😊

@Junaid24800 9 місяців тому

I already have this book but its based on R 🤩

@AnotherDayattheDock 3 місяці тому

honestly the best advice on youtube i've ever seen

@josueramirez7247 8 місяців тому

It was a famous book at my college. ISLR is what we called it.

@n3v1h5 9 місяців тому

the classic fatherly British docuseries presentation is of archetypal excellence

@dalskiBo 8 місяців тому

Thanks for sharing, can one jump straight to the Python book or is it necessary to read both?

@RanulHashika 8 місяців тому

Both are the same. The only difference is Python and R.

@reubenmwangi3071 9 місяців тому

Thanks 😊👍

@alikaraca163 8 місяців тому

The video says the book is a few hundred pages and does not get into unnecessary details however I just checked the book which is more than 600 pages. Am I looking for the right book?

@joshuaheathcote2116 8 місяців тому

Holy cow. You are my go to guy!

@cricketmasstti_68 7 місяців тому

Can you do a video on big data books and course

@aneedfortheory 5 місяців тому

Hello @Python Programmer. I may have missed the info, but is there a related course mentioned in the video?

@buttert5091 9 місяців тому

Thank you

@harishhanchinal2838 9 місяців тому

Thank you.

@madarasm4371 9 місяців тому

This video was very helpful. Thank you

@moazzamjadoon4436 9 місяців тому

This is the recommended book for the Society of Actuaries Statistics for Risk Modeling Exam- along with the book Regression Modeling with Actuarial and Financial Applications, by Edward W. Frees, 2010 for their data science micro-credential. Sorry, I forgot to add below that only the R programming version of the book is included in the exam syllabus.

@sidebarschocolate 9 місяців тому

What else does someone need in order to become an actuary other than R?

@notyourbusiness2672 8 місяців тому

So weird... Among the *17* links in the description - I didn't find a clear link to the book itself. Very professional.

@davidchen376 3 місяці тому

Yeah. What a click bait video with no real useful content. Who cares why it is free if you can't even link it.

@ElectroNeutrino 3 місяці тому

It's the third one: "An Introduction to Statistical Learning" The title of the book is in the video.

@YourNameHere1000 9 місяців тому

Does he ever give the name of the book?

@theshockbro 9 місяців тому

@Python Programmer Hi, first of all thank you for all the information that you're sharing with us here. I would like to ask you what would you advise, what is your opinion on this matter, becuase I can't quite make up my mind. I'm torn between doing an online course or actually getting into uni and doing 3-4 year course there. (have in mind I am 36 this year) Fields that I've been looking at and that I'd be interested in are mainly Gaming development or AI. Would you advise me to get into uni and have a proper degree or rather do some of the acredited courses and start chasing apprenticeship jobs in next 6-10 months? Thank you very much for your time!

@kevinmccallister7647 8 місяців тому

It depends, you absolutely can learn and get a job by learning by yourself that's what I did. Can you sit down, focus and study by yourself? If you can or are willing to learn how to - start doing this you'll learn a lot If you'd rather have an external structure environment, go to college - keeping in mind you might not do what you want immediately I would say start with game dev as you are interested in it, build something in unity, follow their tutorials Then learn to use chatGPT api and combine the both - you can have a game with ai project in a couple of months

@andredoestech 9 місяців тому

is there a link in the description to what he is talking about or am I just dumb?

@vivekpatel3752 9 місяців тому

One can apply for Omdena projects

@squirrelthug 7 місяців тому

your affiliate link to Make It Stick is broken, but thanks for the recommendation!

@chasenom5880 2 місяці тому

So true!!! This book is absolutely top notch and while there are other great reources out there such as Oreilly and Coursera, this book provides all the prerequisite knowledge

@DeLaCruzer11 9 місяців тому

The name of the book is: "How To Serve Man" It's a cook book!

@saurabhsamridh4635 9 місяців тому

Where can i get this book?????

@duaneatnofroth 9 місяців тому

What new topics has Brilliant helped you learn?

@arielsuarez5471 6 днів тому

1:42 “make it stick: The Science of Successful Learning”? I will have to get my hands on that!

@sandipankarmakar 3 місяці тому

It depends upon the objective of the learner: whether to learn the theory and code by your own or to learn only to use ready made packages and get the result... For the second case, ESLR and ISLR (and the latest Python version) are really good as they did not delve into the nitty gritty of the theories... But for the first case, one should refer C M Bishop's PRML (2006) and Deep Learning by the same author and Kevin Murphy's ML- Probabilistic Perspective (2012, Edition 1) and latest in two volumes... PRML is freely available too in Microsoft's website.. In ESLR, ISLR I found the concepts are quite esoteric whereas in PRML and Murphy's book they have started at the basic concepts and slowly went on building upon the basics...

@dondublon1 8 місяців тому

But, where is a link to the book?

@sdaiwepm 9 місяців тому

This is good news! However, it seems the the online edX course is available only in R, not (yet?) in Python.

@markrussell4682 9 місяців тому

I like Python, and its far easier to master than R, but I use R in my work far more often than I use Python. This may just be a bias among my management, but the fact that I knew R, and Matlab and Mathematica coming out of University made getting my first data analyst job much easier.

@sahilgurjar8209 9 місяців тому

@@markrussell4682how did you learn R. Any book or course you would recommend to begginers?

@deusvult1268 8 днів тому

@@markrussell4682 So would you recommend learning R instead of python or both or also Matlab?

@markrussell4682 8 днів тому

@@deusvult1268 I think in most instances Python is a more useful language to know. Python is now interoperable with Microsoft Excel which is used almost ubiquitously in data science.