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Machine Learning Simplified (Sach mau)

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Machine Learning Simplified (Sach mau)

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he underlying goal of "Machine Learning
Simplified" is to develop strong intuition into inner workings of ML. We
use simple intuitive examples to explain complex concepts, algorithms
or methods, as well as democratize all mathematics "behind the scenes".
 
After
reading this book, you will understand everything that comes into the
scope of supervised ML. You will be able to not only understand
nitty-gritty details of mathematics, but also explain to anyone how
things work on a high level.
 
Review:
 
Reviewed in the United States on 12 June 2022 Verified Purchase
 
“The
Machine Learning Simplified: A gentle introduction to supervised
learning” by Andrew Wolf is an amazing and outstanding book that will
teach you the basics of machine learning as well as the more advanced
machine learning algorithms. These two different levels of difficulty
are clearly divided in part one and part two, which I truly appreciated
as it made it so much easier to understand the whole concept.
Furthermore, concepts such as the difference between data science and
MLOps and machine learning are discussed, adding to the typical problems
one can solve with the help of Machine Learning. These are just a
couple of examples but the book is full of enriching information. I
definitely recommend it.
 
Categories:Computers - Algorithms and Data Structures
 
Volume:1
 
Year2022
 
Edition:1.0.1-1
 
Publisher:THEMLSBOOK.COM GITHUB.COM/5X12/THEMLSBOOK
 
Language:english
 
Pages:111
 

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