The StatQuest Illustrated Guide To Machine Learning PDF AZW3 EPUB MOBI TXT Download

Machine Learning is awesome and powerful, but it can also appear incredibly complicated. That’s where The StatQuest Illustrated Guide to Machine Learning comes in. This book takes the machine learning algorithms, no matter how complicated, and breaks them down into small, bite-sized pieces that are easy to understand. Each concept is clearly illustrated to provide you, the reader, with an intuition about how the methods work that goes beyond the equations alone. The StatQuest Illustrated Guide does not dumb down the concepts. Instead, it builds you up so that you are smarter and have a deeper understanding of Machine Learning.The StatQuest Illustrated Guide to Machine Learning starts with the basics, showing you what machine learning is and what are its goals, and builds on those, one picture at a time, until you have mastered the concepts behind self driving cars and facial recognition.

Josh Starmer PhD
May 2, 2022
305 pages

File Size: 86 MB
Available File Formats: PDF AZW3 DOCX EPUB MOBI TXT or Kindle audiobook Audio CD(Several files can be converted to each other)
Language: English, Francais, Italiano, Espanol, Deutsch, chinese

  • *Note – The digital version/eBook, is forced into portrait mode (vertical), instead of landscape mode (horizontal); and does not auto-rotate like most eBooks. This is unfortunate, because the wide, illustrated pages are now crammed into a smaller vertical window, and it makes it much harder to read (see pictures). Even on my 10 inch tablet it is not easy for me read everything. I would suggest going with the paperback version instead for this reason. *This book uses images and text to explain machine learning concepts in a very visual, almost comic-book style. The author Josh Starmer has a popular Youtube channel which has many videos that explain these same concepts; and some of the images/diagrams in the book seem to be the same as the ones from those videos. The book is divided into 12 chapters, with about 270 pages, followed by Appendices A through F.The book covers many different specific concepts, including: Cross validation, statistics, regression, decision trees, and even neural networks. The format is great for visual learners, as each page has several images and visual representations of the topics being explained.Overall I thought that this was a great idea for a book that can help to explain some complex ideas in an easier-to-digest format. This method of presentation might allow for a wider audience to get interested in these concepts. Again though I would have to suggest the paperback version, as it is probably much easier to read. You could also head to the author’s channel to watch some of these videos if you are interested in the subject.
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    File Size: 86 MB