• expired

[eBook] Free: "Machine Learning Mathematics: Study Deep Learning through Data Science" $0 @ Amazon

1700
This post contains affiliate links. OzBargain might earn commissions when you click through and make purchases. Please see this page for more information.

Machine learning is the way of the future – and breaking into this highly lucrative and ever-evolving field is a great way for your career, or business, to prosper. Inside this guide, you’ll find simple, easy-to-follow explanations of the fundamental concepts behind machine learning, from the mathematical and statistical concepts to the programming behind them.

With a wide range of comprehensive advice including machine learning models, neural networks, statistics, and much more, this guide is a highly effective tool for mastering this incredible technology.

US Link

Related Stores

Amazon AU
Amazon AU
Marketplace
Amazon Cloud Reader
Amazon Cloud Reader

closed Comments

  • +24

    Cant complain for free. But i skimmed the book (I work in a related area), personally wouldnt recommend this book as a starting point. It kind skims into various topics without really all the fundamentals, worse than your average ML course online, and is also way too shallow if you are trying to learn any deeper.

    If you do want a pretty hardcore/thorough book, Elements of Statistical Learning (basically the bible) is always free! https://web.stanford.edu/~hastie/ElemStatLearn/

    • Yeah i skimmed through the book. It's bad.

      • Read the Amazon reviews for a laugh - they all appear to be written by an AI with bad English, but a large Thesaurus.

        • It was probably generated by a GAN lol.

  • +5

    For those who are interested, Ian Goodfellow has a good book on deep learning (https://github.com/janishar/mit-deep-learning-book-pdf)

    This might be a good complement who wants to dig deeper.

    • +1

      It would probbaly be the better one to start with, a great book. There are also plently of high quality free courses around. Doing kaggle competitions (kaggle.com) while learning gives you necessary practice while engaging and community sharing approaches and idea. Combining one of better courses, book like one from Ian Goodfellow and doing kaggle competitions for practive is probably the fastest way to learn machine learning.

    • +1

      This book is mainly about deep learning, probably not the best start for those who are new to ML

  • Will I be able to make a Terminator after reading this ?

    • Terminator make you. living tissue over exoskeleton..

  • -8

    It will be great if you can stop posting these turds in the name of books, great way to turn off the interest of people looking to learn.

    • But then how else will I add to my list of unread/uncompleted books/courses?

    • Kind of depends on what people are looking to learn

      • I mean spend few bucks and buy a proper book on the subject, this is garbage.

  • +2

    Good to see US link as alternative for a change

    • why is that? is US zon better?

  • +3

    I remember when they were saying everyone should learn machine learning. I always wonder if that lady cutting my hair or the guy cleaning my blocked drains are secretly tinkering in it at night. I don't ask questions so as not to look stupid.

  • If you want to get started in Deep Learning then I can recommend the FastAI course

    https://course.fast.ai

    (watch the Part1 videos).

    It will give you a good working knowledge to use Deep learning.

    • Wouldn’t Keras be what people go for these days rather than PyTorch?

      • +1

        Both are very popular, but I'd say Torch is growing faster at the moment

        • +1

          I have heard that PyTorch is now more popular in the research community (almost 80%… up from 20% a few years ago) and that may well be reflected in the general DL community soon.

  • With these hundreds of books, how do you hide them from your order history so you can see the real stuff you bought?

    • What is real?

Login or Join to leave a comment