Machine Learning Simplified: A Gentle Introduction to...

Machine Learning Simplified: A Gentle Introduction to Supervised Learning

Andrew Wolf
5.0 / 5.0
1 comment
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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.
권:
1
년:
2022
판:
1.0.1-1
출판사:
THEMLSBOOK.COM GITHUB.COM/5X12/THEMLSBOOK
언어:
english
페이지:
111
파일:
PDF, 16.80 MB
IPFS:
CID , CID Blake2b
english, 2022
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