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Pros & Cons

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Pros

This is the best second book to read if you are an absolute beginner. This book genuinely deserves all 4 & 5-star marks given by reviewers. I wish there could be more exercises, but it is a nice step to start.

It's enough to give you a quick grasp of some of the most used concepts in the ml/deep learning field. It's a great reference to have on your bookshelf - especially to remind yourself quickly or a term, or if you're trying to compare and decide on wha...  Read More

Machine learning incorporates several hundred statistical-based algorithms. Theobald's book is more advanced, contains more details. A good introduction and reference of toolkits needed to begin a rudimentary machine learning program.



Cons

Some ridiculous cases when the author writes a formula, for instance 1/(1+e^(-x)) and spells is our in words one divided by the sum of one and exponent …. Don't buy it.

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Highlights

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Quality


The concepts are explained in a smooth fashion with the right mix of statistical terms.


Previously i have been overwhelmed with the math and this helped draw me back out a few steps to better understand the concepts.


2) the reviews suggest that the first edition suffered from spelling mistakes and occasional glitches in the quality of writing.


I would have liked to have seen some full examples as with the previous algorithm chapters.

Competitiveness


Would reccomend fpr anyone wanting to know more about the workings of machine learning without having to have an advanced math ...  Read More


I general it is good book, which i would recommmend reading as a starting point for its structured approach.


But machine learning can feel big and complex to a novice.

Overview

  • How are reviewers describing this item?
    good, great, through, easy and first.
  • Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
  • Our engine has determined that the review content quality is high and informative.
  • Our engine has discovered that over 90% high quality reviews are present.
  • This product had a total of 1,123 reviews as of our last analysis date on Nov 28 2022.

Helpful InsightsBETA

The AI used to provide these results are constantly improving. These results might change.

    Posted by a reviewer on Amazon

    Im an r user and so the python code sections werent of much interest to me but those sections are small


    Posted by a reviewer on Amazon

    Most of the book deals with description of machine learning techniques rather than examples


    Posted by a reviewer on Amazon

    It can be finished within a few hours


    Posted by a reviewer on Amazon

    For the most part the details provided are just enough to allow most readers to grasp these concepts


    Posted by a reviewer on Amazon

    Just enough math to have it make sense but simplified enough that any layperson could understand without much struggle


    Posted by a reviewer on Amazon

    However when you get to the code section its another story and what cost them one star


    Posted by a reviewer on Amazon

    If youre new to python skip this section

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Please note: The content is generated by an AI language model based on reviews. We are constantly improving the accuracy, however, its outputs may contain errors or offensive content from certain reviews. Please report any errors or offensive content to us. Also, please note that we will not collect your questions unless you click the thumbs up/down button to provide feedback. The answers displayed will be stored by us so if another Fakespotter asks a similar question we can provide them an answer faster. Your feedback will only help us make Fakespot Chat better! By using Fakespot Chat, you agree to Fakespot's terms of use and privacy notice.

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