7 ms·

Machine Learning Engineering Book

164 points by Vincent_F_Vega 6y ago

goku99 6y ago
Thanks a lot for this! It's really helpful
manojlds 6y ago
Says read first and but later but don't see any option to download without paying?
- swyx 6y ago
  did you even click the links? they link each chapter to dropbox https://www.dropbox.com/s/wxybbtbiv64yf0j/Chapter1.pdf?dl=0 https://www.dropbox.com/s/wxybbtbiv64yf0j/Chapter1.pdf?dl=0
  - kgwgk 6y ago
    It’s unclear from the page if these chapters are the final version.
    - summerlight 6y ago
      IIRC, authors are usually not supposed to release the final version for a while due to some legal complications even if their publisher agrees with the idea itself. One of the workaround is releasing a draft version of the book, nearly identical to the final version. If this is the case, the book can be practically considered public.
      - manojlds 6y ago
        But in Leanpub you can make the min 0 right?
  - deleted 6y ago
    [deleted]
- three_legs 6y ago
  It appears that if you click to buy the PDF on leanpub, you can then click the link to read a sample, which is actually the full book. I am slightly not sure because it's "only" 98 pages.
franczesko 6y ago
How this book is different from the "The Hundred-Page Machine Learning Book" or "Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems"?
- st1x7 6y ago
  The main difference is that "Hands-On ML..." is a legitimately good book.
  - sgt101 6y ago
    I think that it's unfair of you just to assert this without giving some specific criticism of this book. I am pretty interested actually as I am currently trying to write a similar book of my own! I can see a lot of difference between this and what I am trying to do, and may differences to "Hands on" but what in particular are you disappointed with here?
    - st1x7 6y ago
      The book in the original post and the other book from the same author are short surface-level summaries of the field that don't go in depth at all and don't provide any meaningful new content. It's like someone took their personal notes, formatted them in a pdf and called them a book. It's an embarrasingly transparent cash grab or just something that helps the author's social media presence because they can now say that they "have written an ML book".
      - nchelluri 6y ago
        > It's like someone took their personal notes, formatted them in a pdf and called them a book. Why is that such a bad thing? I like condensed, reader's digests versions of things. Not every text has to break new ground; some of it can be, well, purely educational. Or do you dispute the educational value of the text? Legitimately curious; I haven't read any of the books, but I actually like the way you described the author's text process.

goku99 6y ago

Thanks a lot for this! It's really helpful

manojlds 6y ago

Says read first and but later but don't see any option to download without paying?

swyx 6y ago
did you even click the links? they link each chapter to dropbox https://www.dropbox.com/s/wxybbtbiv64yf0j/Chapter1.pdf?dl=0 https://www.dropbox.com/s/wxybbtbiv64yf0j/Chapter1.pdf?dl=0
- kgwgk 6y ago
  It’s unclear from the page if these chapters are the final version.
  - summerlight 6y ago
    IIRC, authors are usually not supposed to release the final version for a while due to some legal complications even if their publisher agrees with the idea itself. One of the workaround is releasing a draft version of the book, nearly identical to the final version. If this is the case, the book can be practically considered public.
    - manojlds 6y ago
      But in Leanpub you can make the min 0 right?
- deleted 6y ago
  [deleted]
three_legs 6y ago
It appears that if you click to buy the PDF on leanpub, you can then click the link to read a sample, which is actually the full book. I am slightly not sure because it's "only" 98 pages.

franczesko 6y ago

How this book is different from the "The Hundred-Page Machine Learning Book" or "Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems"?

st1x7 6y ago
The main difference is that "Hands-On ML..." is a legitimately good book.
- sgt101 6y ago
  I think that it's unfair of you just to assert this without giving some specific criticism of this book. I am pretty interested actually as I am currently trying to write a similar book of my own! I can see a lot of difference between this and what I am trying to do, and may differences to "Hands on" but what in particular are you disappointed with here?
  - st1x7 6y ago
    The book in the original post and the other book from the same author are short surface-level summaries of the field that don't go in depth at all and don't provide any meaningful new content. It's like someone took their personal notes, formatted them in a pdf and called them a book. It's an embarrasingly transparent cash grab or just something that helps the author's social media presence because they can now say that they "have written an ML book".
    - nchelluri 6y ago
      > It's like someone took their personal notes, formatted them in a pdf and called them a book. Why is that such a bad thing? I like condensed, reader's digests versions of things. Not every text has to break new ground; some of it can be, well, purely educational. Or do you dispute the educational value of the text? Legitimately curious; I haven't read any of the books, but I actually like the way you described the author's text process.