It’s funny cause I just got done manipulating a Titanic csv file … for a machine learning course … I guess will soon be using linear regression to predict a target
This is a brilliant book.. just finished reading it. There are a few brilliant courses on coursera too, the one by Imperial college was just right for me. Thanks again for all the information and your brilliant channel!
@@granand There is an option to audit courses where you get access to videos and ungraded assignments. You need to pay only if you want to attempt the graded assignments to get a certificate.
@@pyr5881 So we need to read hard books to justify that it is suitable for ML? LOL. Data Scientist and Mathematicians have always recommended that book
@@johnwig285 Most people called themselves data scientists are actually doing data analyst things. So they do not need to read hard books or research papers. For introduction to statistical learning, the content can be taught in one semester course. I don't think it can make a person to a data scientist.
I'm taking your Python course on Udemy, and do not wish to sound like a boot-licker here. But, I do really appreciate you pointing to so many free resources to learn these skills including another recent video you did, where you pointed to a free way to learn. I think that shows great integrity and I greatly appreciate it.
I took a look at the book and decided to buy. Now I am half ways through - here my five pence (so far): I liked that you get a collation of all (or at least most) of the relevant topics: linear algebra, calculus, some tensor stuff, probability, optimization theory etc. That's nice, because you have a point to start with. I like, that they give some worked out examples and tell about how the things they explain will relate to Machine Learning - thus helping to avoid getting lost in the sheer amount of topics to be mastered. In the text and especially at the end of the chapters there are hints about literature: what to read to get a deeper insight and other sources for self-study. I like that, too - and without trying to make the book less than it is, I might say, that this hints to other sources might be the most valuable part of the book: at least I myself often need more than one explanation for the same thing, when studying by myself. Sometimes I can only understand something, if I know "the whole truth", i.e. if I dig down to the bottom. In how far this book with about 350 pages is enough mathematics for ML, I can't say: I'm trying to learn ML myself and have not managed to get a job in the field yet, so I have no experience to give an estimate. But what I can say is, that it seems to me, a very good point to start from.
@Winston Mcgee how can you be so sure that job doesn't exist? I've heard some way wackier job titles and they do exist. Surgical Robotics Engineer title sounds absolutely plausible to me
Thank you for providing us insights. What 3D softwares do you use for modelling parts of robots? I am a Blender user. Also what softwares do you use for electronics, stuff for PCB designs or circuit simulations?
@Winston Mcgee : Surgical Robotics is one of the hottest areas in Robotics. It does exist and it's real. just look it up if you do not believe me. Check out Da Vinci Robot by Intuitive surgical, or Monarch Surgical Robot by Auris Health, or Mako Robot by Stryker, or Mazor X robot by Medtronic. the list goes on and on
Earlier yestermorning, I received my copy of the Hands on Machine Learning text by Aurelien Geron, and as I skimmed through the second chapter on the end-to-end project, I felt a need for an in-depth text for Mathematics. I am, or atleast I'd like to believe, well-versed with the basics of the maths involved, and just as I was going through your channel for a playlist of books for maths, this popped up in my notifs. Thank you so much Giles! PS - HOML is honestly so good. I am only 2 chapters in, but I'm loving it.
I just wanted to say this is a brilliant channel. Almost always no matter what the video is, I always click and watch it and it's because of your style of basically talking, explaining, sharing your opinion and i love your walks outside! it's amazing. You and your work are very much appreciated, man. Please keep it up :)
hi i have been watching your videos for around 2-3 months and you have literally saved me do many months of time banging my head on the wall and i just want to say this THANK YOU SO MUCH PLEASE I AM BEGGING YOU NEVER STOP MAKING VIDEOS
This book is for a beginner in math, but if you have some fundamentals like in part 1 of this book, I prefer you learn An Introduction of statistical learning with Application in R book.
I am so glad you showed the Turkeys. I was listening intently to you but did get a bit distracted with what looked like emu's walking in the distance and just as my curiosity bubble was getting rather large you stopped to show what it was, Genius.
Loved your video...turkeys too. UA-cam Algorithm brought me here, and I'm fully thankful for a new book to read and for discovering your channel. Regards from Bogotá.
Buying books on Amazon to learn math (unless they're workbooks) is a cop-out in my hot take opinion. There are TROVES of resources to learn just here on UA-cam. Love your work. Say hello to turkeys for me.
I just got that book from Amazon today. Very explanatory and helpful. It is a great accompaniment with James Stewart's Metric Version Calculus. 👌👌👌 I breezed through the book and understood things quickly. I love the page layouts, few colours in illustrations, footnotes in the margins, etc. It is well worth the money.
This book is all math and doesn't explain much about how this math is related to machine learning. This book is just to look up some concepts you may forgotten and need to understand while reading some other book on machine learning.
Thank you sir. I know the basics from high school and a business management Bachelor's, but given that background, the mathematical symbols have always been a weakness of mine. Will get started right away
Thank you Giles. I was looking of a good book about mathematics for Machine Learning. I will go through this book and hope this book satisfies my thirst for mathematics in Machine Learning.
Hello sir, I am watching this video in 2024 😅 This book is very good 😊 , and I decided to build my own START-UP in Ai .. I am really impressed with this book
Wish you had uploaded it 2-3 months ago. I would have easily passed my ML exam. Weak at Math stuff and kind of annoying at times specifically during an exam. We have to use our analytical skills to solve new problems instead of just theory stuff. Will surely give another try after improving my preperation.
Thank you for your supportive informations to the students like us. You are an amazing individual who is helping to build a career in AI & ML without much monetary pressure.
Although like most of your videos this resource is also superb, I was thinking along the lines of - 'if something is made available for free, does it inspire and make the end user really appreciate the hard work that goes into this and does this actually get used in the end....' I would be interested in knowing your thoughts.
By the way, you fulfilled my wish to KNOW and SEE what were the birds' shadow in the background! Love it. Thanks for that! This reminds us "just don't stick your nose in a book or hands in a computer all day long. Just get a walk and see some Turkeys !" 🦃
Sir we like your channel so please use name is screen when u naming the maths chapters name when u Speaking something by mouth and We want more mathematics related maths and also teach use all Keywords off all languages Like python Java c C++ and r language
Check out my video on the Titanic - I think you'll like it ua-cam.com/video/SffkBc1MQ40/v-deo.html
do math is the same for machine learning and deep learning or is it different(does this book cover math for deep learning?)
It’s funny cause I just got done manipulating a Titanic csv file … for a machine learning course … I guess will soon be using linear regression to predict a target
This is a brilliant book.. just finished reading it. There are a few brilliant courses on coursera too, the one by Imperial college was just right for me. Thanks again for all the information and your brilliant channel!
Finished as in cover to cover or finished as in just the relevant parts...
Can you please share Coursera course link ?
Can you share the link of the course?
Coursera are they are courses ? It always asks me credit card
@@granand There is an option to audit courses where you get access to videos and ungraded assignments. You need to pay only if you want to attempt the graded assignments to get a certificate.
This and Introduction of Statistical Learning are probably the best books for Math stuff related to ML
No, I don't think so. It's too easy.
@@pyr5881 what do you recommend instead ?
@@pyr5881 So we need to read hard books to justify that it is suitable for ML? LOL. Data Scientist and Mathematicians have always recommended that book
@@johnwig285 Most people called themselves data scientists are actually doing data analyst things. So they do not need to read hard books or research papers. For introduction to statistical learning, the content can be taught in one semester course. I don't think it can make a person to a data scientist.
Wow! A man who freely offers knowledge..
You are a gentleman.
Thank you.
You are giving us a superb quality of information to succeed ✨😁
I'm taking your Python course on Udemy, and do not wish to sound like a boot-licker here. But, I do really appreciate you pointing to so many free resources to learn these skills including another recent video you did, where you pointed to a free way to learn. I think that shows great integrity and I greatly appreciate it.
I took a look at the book and decided to buy. Now I am half ways through - here my five pence (so far): I liked that you get a collation of all (or at least most) of the relevant topics: linear algebra, calculus, some tensor stuff, probability, optimization theory etc. That's nice, because you have a point to start with. I like, that they give some worked out examples and tell about how the things they explain will relate to Machine Learning - thus helping to avoid getting lost in the sheer amount of topics to be mastered. In the text and especially at the end of the chapters there are hints about literature: what to read to get a deeper insight and other sources for self-study. I like that, too - and without trying to make the book less than it is, I might say, that this hints to other sources might be the most valuable part of the book: at least I myself often need more than one explanation for the same thing, when studying by myself. Sometimes I can only understand something, if I know "the whole truth", i.e. if I dig down to the bottom.
In how far this book with about 350 pages is enough mathematics for ML, I can't say: I'm trying to learn ML myself and have not managed to get a job in the field yet, so I have no experience to give an estimate. But what I can say is, that it seems to me, a very good point to start from.
Did you got any jobs in ml after 3 years?
I'm curious to know too lol@@poojakadian9674
@@poojakadian9674Indeed we are patiently awaiting the answer.
As a Surgical Robotics Engineer, I can confirm that linear algebra is also used heavily in Robot Kinematics and Robot Vision.
@Winston Mcgee how can you be so sure that job doesn't exist? I've heard some way wackier job titles and they do exist. Surgical Robotics Engineer title sounds absolutely plausible to me
That sounds awesome! What''s your educational background if you don't me asking?
Thank you for providing us insights. What 3D softwares do you use for modelling parts of robots? I am a Blender user. Also what softwares do you use for electronics, stuff for PCB designs or circuit simulations?
@Winston Mcgee : Surgical Robotics is one of the hottest areas in Robotics. It does exist and it's real. just look it up if you do not believe me. Check out Da Vinci Robot by Intuitive surgical, or Monarch Surgical Robot by Auris Health, or Mako Robot by Stryker, or Mazor X robot by Medtronic. the list goes on and on
@@JeremiKress : I got my Bsc in Mech Eng, my Msc in Mechatornics, & my PhD in Surgical Robotics.
Earlier yestermorning, I received my copy of the Hands on Machine Learning text by Aurelien Geron, and as I skimmed through the second chapter on the end-to-end project, I felt a need for an in-depth text for Mathematics. I am, or atleast I'd like to believe, well-versed with the basics of the maths involved, and just as I was going through your channel for a playlist of books for maths, this popped up in my notifs. Thank you so much Giles!
PS - HOML is honestly so good. I am only 2 chapters in, but I'm loving it.
I just wanted to say this is a brilliant channel. Almost always no matter what the video is, I always click and watch it and it's because of your style of basically talking, explaining, sharing your opinion and i love your walks outside! it's amazing. You and your work are very much appreciated, man. Please keep it up :)
hi i have been watching your videos for around 2-3 months and you have literally saved me do many months of time banging my head on the wall and i just want to say this
THANK YOU SO MUCH
PLEASE I AM BEGGING YOU NEVER STOP MAKING VIDEOS
This is just *incredible*!
Basically exactly what I was looking for; thank you for sharing!
That's exactly what needed ! Thanks and if you can do a video about books of all the math you need for datascience that would be awesome 😍
Hello, from Russia. Your videos are very useful and encouraging. Thank you.
Thanks. I was looking for something like this to feel more confident with my maths 🙏
Python is my favorite programing language!!! Happy new year!
This book is for a beginner in math, but if you have some fundamentals like in part 1 of this book, I prefer you learn An Introduction of statistical learning with Application in R book.
The Elements of Statistical Learning is even more verbose. It's basically same as the one you mentioned, but more mathematically rigorous
Where do live it's really beautiful around, such peaceful
I am so glad you showed the Turkeys. I was listening intently to you but did get a bit distracted with what looked like emu's walking in the distance and just as my curiosity bubble was getting rather large you stopped to show what it was, Genius.
thank you for such brilliant and quality content all the time!
Thanks 😭 I need this for ages 🙏🏻
Thanks for the book recommendation. This channel is an amazing resource.
Loved your video...turkeys too. UA-cam Algorithm brought me here, and I'm fully thankful for a new book to read and for discovering your channel. Regards from Bogotá.
I was really hoping you would show us what were those things behind you.. And you did it.. You really know what we think 🥰😝
That place your walking around in looks wonderful
I'm always here to get something new
This topic means much more than Heaven Definitino Man !
Thanks a Lot ♥
Thanks a lot for this book........The way you talk is really captivating.
Buying books on Amazon to learn math (unless they're workbooks) is a cop-out in my hot take opinion. There are TROVES of resources to learn just here on UA-cam. Love your work. Say hello to turkeys for me.
That's so unbelievable for me that someone is giving his book for free in todays world.
Thanks a lot. Greetings from Amazonas, Brazil.
Wow! My linear algebra lecturer showed my class this book when he taught us abt eigenvector. It's indeed an amazing book!
What an excellent contribution, thank you very much!
Simply Awesome, thank you very much Giles, really appreciate it!
thank you for keeping this video short and useful
Thank you for sharing! This is most helpful!
I just got that book from Amazon today. Very explanatory and helpful. It is a great accompaniment with James Stewart's Metric Version Calculus. 👌👌👌
I breezed through the book and understood things quickly. I love the page layouts, few colours in illustrations, footnotes in the margins, etc. It is well worth the money.
How is the paper quality of the mathematics of machine learning book??
This book is all math and doesn't explain much about how this math is related to machine learning. This book is just to look up some concepts you may forgotten and need to understand while reading some other book on machine learning.
Thank you sir. I know the basics from high school and a business management Bachelor's, but given that background, the mathematical symbols have always been a weakness of mine. Will get started right away
Hi. The same situation is with Deep Learning book by Goodfellow, Bengio and Courville from MIT Press.
Thanks a lot! It will be very useful in my case!
ty a ton, wanted that book for some time❤
Thank you for making this informative video! cheers from India!
Thank you Giles. I was looking of a good book about mathematics for Machine Learning. I will go through this book and hope this book satisfies my thirst for mathematics in Machine Learning.
Hope you enjoy it!
This was great info. I am a bit rusty and need some practice and this was great.
Thank you for sharing such valuable information.
Thank you so much for the recommendation!
Keep this good work for us thankyou again and again
As usual awesome resource. Thanks for sharing.
I think you are our hero 🦸♂️👨💻
🥺💜🙏🏻
You're a legend, thanks for sharing!
YEESS This was just what I needed!
thanx :)
that's what i was looking for..... keep going u help us aloooot.
i can't stop watching ur videos:)
Ngl i love your channel tour videos are to the point and informative when they need to be amd the videgraphy is awesome
Thanks . I am a java developer who wanted to learn maths of machine learning first rather than code
Nice find. Downloaded the PDF for a rainy day. I hope it rains soon.
I find the scenery where you appear to live to be quite appealing
Nice video, covers everything from maths to turkey.😎
I'm Learning Central Limit Theorem right now and I could use the extra help haha
Hands on Mathematics for Deep Learning by Jay Dawanai is my choice 🙌🏻🙌🏻
Amazing, got it. Thanks 😊
Hello sir, I am watching this video in 2024 😅
This book is very good 😊 , and I decided to build my own START-UP in Ai ..
I am really impressed with this book
Wish you had uploaded it 2-3 months ago. I would have easily passed my ML exam. Weak at Math stuff and kind of annoying at times specifically during an exam. We have to use our analytical skills to solve new problems instead of just theory stuff. Will surely give another try after improving my preperation.
Just found what I need, thank u numpy man.
Thank you for your supportive informations to the students like us. You are an amazing individual who is helping to build a career in AI & ML without much monetary pressure.
Great! Thank very much Mr. Giles
Great Book
thank you alot for recommendation!
Love this, thank you!
Thank you for this brilliant information!!! 💖💖💖💖💖💖
Thanks you man it is really awesome from you 👍👍👍👍
Thank you very much sir for the information.
I am a ph. d student .. I have this book.. this is very awsm book to read
Although like most of your videos this resource is also superb, I was thinking along the lines of - 'if something is made available for free, does it inspire and make the end user really appreciate the hard work that goes into this and does this actually get used in the end....'
I would be interested in knowing your thoughts.
Awesome!! TQVM!
Thank you so much for your efforts.
Thank you, regards from Argentina
Thank you! PDF downloaded
Tq you for giving such an amazing information
Great indication and better all the tutorial are in jupyter notebook.
Amazing book！！！Thanks for your recommendation.
Absolutely love this guy
Thanks. I got it. It is Mathematics for ML
Thanks alot. Greettings from Uruguay
THIS IS AMAZING
Thank you, your a blessing
exactly what i was looking for
The book assorts the best contents from famous resources ans does it well.
Thanks for sharing this gem
Thanks for sharing!
Thanks for a book!
These turkeys were interested in learning ML too.
By the way, you fulfilled my wish to KNOW and SEE what were the birds' shadow in the background! Love it. Thanks for that!
This reminds us "just don't stick your nose in a book or hands in a computer all day long. Just get a walk and see some Turkeys !" 🦃
I love this book.
Thank You! ❤
Sir we like your channel so please use name is screen when u naming the maths chapters name when u Speaking something by mouth and
We want more mathematics related maths and also teach use all
Keywords off all languages
Like python Java c
C++ and r language
Thank you for the good work
Great sharing, many many thanks
Thank you so much!
Wonderful book!!
Thank you so much sir !!!