Approaching (Almost) Any Machine Learning Problem
- Downloads：3234
- Type：Epub+TxT+PDF+Mobi
- Create Date：2021-07-09 09:54:57
- Update Date：2025-09-06
- Status：finish
- Author：Abhishek Thakur
- ISBN：8269211508
- Environment：PC/Android/iPhone/iPad/Kindle
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Reviews
Misal
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If you are a practitioner of ML， I'd suggest you buy this book with your eyes closed。 The author doesn't go extremely deep into the theory behind most of the algorithms。 As the name states， this book is very practical。 It is focused on DOING more than LEARNING。 As far as the book the page quality is very nice too， and they have a glossy finish。 If you are a practitioner of ML， I'd suggest you buy this book with your eyes closed。 The author doesn't go extremely deep into the theory behind most of the algorithms。 As the name states， this book is very practical。 It is focused on DOING more than LEARNING。 As far as the book the page quality is very nice too， and they have a glossy finish。 。。。more
Jack Leitch
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Very pragmatic
Yassine Alouini
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Worth the money and time！Only the computer vision chapter felt a little bit rushed。 Also， I wish there was a little bit more theory but I guess you can't have everything but almost everything。 😁 Worth the money and time！Only the computer vision chapter felt a little bit rushed。 Also， I wish there was a little bit more theory but I guess you can't have everything but almost everything。 😁 。。。more
Rakesh
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Best book ever read on ML。 Very practical。 Would recommend to anyone who are new or experienced in the field。 Detailed and to the point of explaining things。 One could surely get a job in the field of Data Science if he understands and implement everything given in the book。
Guido Fawkes
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There is so much hype around this book。 All over the social media， you can find people posting photos of the book as just unboxed from mail and claiming the book will render them some kind of demi-god of machine learning。 There are a few critic voices， too， but they are put into silence by the very aggressive behavior of the author。 I read the book from cover to cover and I can tell you that it is fool's gold backed by a cargo cult。 The book is simply normal content， nothing so special， the same There is so much hype around this book。 All over the social media， you can find people posting photos of the book as just unboxed from mail and claiming the book will render them some kind of demi-god of machine learning。 There are a few critic voices， too， but they are put into silence by the very aggressive behavior of the author。 I read the book from cover to cover and I can tell you that it is fool's gold backed by a cargo cult。 The book is simply normal content， nothing so special， the same stuff and code you can freely find on blogs and github all over the internet provided by many amateurs and enthusiastic people working in data science。 The author is clearly working everyday with data science stuff and he is providing some of his knowledge， though not in a very organized way: the contents are a kind of wild spaghetti data science， a stream of consciousness in an analyst's mind。 Don't be amazed if you cannot understand what the author wants to tell you in a chapter because within each chapter， which acts as a content box， the contents are very dispersive and not organized at all。 That's all folks， nothing special in it。 You can also find a lot of code that the author claims you have to digit by yourself so you can learn。 You have to find the datasets by yourself。 That's so much cargo cult。 In reality the code is not well explained because the author doesn't explain it but for some comments in the code itself。 Buy at your own risk， if you need a book on doing data science you can find better content buying Hands-On Machine Learning with Scikit-Learn， Keras， and TensorFlow by Aurélien Géron。 。。。more
Ishaku Ibrahim
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I am new to machine learning。 I have struggled a bit to grasp concepts but this book instantly change everything for me。 From cross validation to evaluation metrics and so on 。。。。just wow。 The simplified approach is a big plus for any reader。 Thank you Abishek Thakur
Arpit Vijay
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This review has been hidden because it contains spoilers。 To view it， click here。 its a great book
Aadil Srivastava
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A great read！！If you are a Machine Learning practitioner and you already are familiar with the basics as well as the theoretical part of ML/DL， then this book is gonna is very good read for you。 It's not a typical ML book that will start with thr basics like what ks ML， Linear Regression， etc。 instead it will you to gain maximum out them。It has already helped in recognising gaps in my understanding of practical ML。 Some of the small-small ideas are so brilliant that it gave me a new perspective A great read！！If you are a Machine Learning practitioner and you already are familiar with the basics as well as the theoretical part of ML/DL， then this book is gonna is very good read for you。 It's not a typical ML book that will start with thr basics like what ks ML， Linear Regression， etc。 instead it will you to gain maximum out them。It has already helped in recognising gaps in my understanding of practical ML。 Some of the small-small ideas are so brilliant that it gave me a new perspective and I'm wondering it would have been so much fun I have used these things when I was solving a similar bussiness problem。Thanks a lot Abhishek for putting so much of your effort。 。。。more
Varun Gadre
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Great book to get started with ML。Its a nice bridge between the knowledge part and the applied part of ML。 The codes are simple to understand with the help of comments。 The book also helped in understanding your Youtube tutorials and vice-versa。 The book has really got me started on approaching problems on Kaggle。 Looking forward to future books in the series。
Nishant Bhadauria
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