Machine Learning : A Comprehensive, Step-By-Step Guide To Learning And Understanding Machine Learning From Beginners, Intermediate, Advanced, To Expert Concepts and Techniques
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Machines are created to make work easier for us, but so many have seen machines as a major barrier due to their supposed technicality of machines.
Are you a novice trying to understand the basics of machine?
Do you have prior knowledge and you wish to acquire further understanding about tensorFlow, scikit- learn, algorithms, decision trees, random forest, deep learning or neural networks?
Are you even a pro and you wish to add to your knowledge?
This book is all you need. This painstakingly compiled manuscript unravels the rudiments and generality of machine learning. It is total and all encompassing with accurate and concise principles of machine learning. This quintessential book comprises modules that cut across various level of knowledge in machine learning. It is an exquisite material that grants you practical knowledge in machines. It weighs more than mere words, it is gold in manuscript.
You might not know how much you know or how much you need to know until you avail yourself with essential materials. This book is not one of all you need to understand machine learning; it is all you need to uncover the full scope of learning machines.
Technicality is very relative when you have the right knowledge. Stay ahead; make a choice that will last.
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More than you can handle about ML.. One of the best books on probabilistic approaches to machine learning. I like that the author not only describes various techniques but also takes the time to try to pull out the intuitions behind concepts, compares techniques to help the reader understand what makes a technique special and provides a detailed bibliography so that details can be followed up in the original literature. The book covers a huge swath of material from basic theory of Bayesian reasoning all the way to recent work in…
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