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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About this ebook
4 Books in 1
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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Peter Bradley
Peter Bradley was the Labour MP for The Wrekin between 1997 and 2005. More recently, he co-founded and directed Speakers’ Corner Trust, a charity which promotes freedom of expression, open debate and active citizenship in the UK and developing democracies. He has written, usually on politics, for a wide range of publications, including The Times, The Guardian, The Independent, The New Statesman and The New European.
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