Machine Learning for Beginners: The Ultimate Guide to Learn and Understand Machine Learning – A Practical Approach to Master Machine Learning to Improve and Increase Business Results

Автор: literator от 3-06-2020, 14:42, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ

Machine Learning for Beginners: The Ultimate Guide to Learn and Understand Machine Learning – A Practical Approach to Master Machine Learning to Improve and Increase Business ResultsНазвание: Machine Learning for Beginners: The Ultimate Guide to Learn and Understand Machine Learning – A Practical Approach to Master Machine Learning to Improve and Increase Business Results
Автор: Anderson Coen
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 205
Язык: английский
Формат: pdf, azw3, epub
Размер: 19.2 MB

Machine Learning for Beginners.

Are you ready to spin up a virtual GPU instance and crash through petabytes of data? Do you like to add machine learning to your professional profile?

But wait a minute.

Before you go onboard on your grand expedition into the realm of machine learning, there’s some theory you need to deal with first.

Instead of wasting your money on a dense, boring, and lengthy textbook, you might like to read this book first. A concise and clear option to a textbook. Machine Learning for Beginners provides a high-level and efficient introduction to the basic components as well as statistical concepts seen in machine learning.

This book has been written and created for absolute newbies like you. That means there won’t be any jargon, plain English discussions, and no experience needed. Clear explanations are distributed throughout the book, making it engaging and simple for you to follow along at home, where core algorithms are presented.

The book opens with a basic introduction to machine learning. The second half of the book is much practical and dives into specific algorithms and statistical concepts applied in machine learning. At the end of this book, the author share advice and insights on where machine learning will be in the next twenty years.

Learn machine learning and data analysis concepts through practical examples coded in Python. The following libraries are covered in great detail:
● NumPy
● SciPy
● Sklearn (Scikit-learn)
● Pandas
● TensorFlow
● Matplotlib

There’s also a chapter dedicated for an introduction to Raspberry Pi. If you are interested in robotics and automation, this chapter is not to be missed. Machine learning is being used in industries that are not directly related to computer science. If you are new to Python, there is also an introductory chapter that covers the basics, so you can start with data analysis and machine learning as soon as possible.

Are you now thinking that there’s no scientific or certainty proof that intelligence is ass structured as you hope it to be? As in the evolutionary processes, where order and chaos coexist, you will see a research gap connected to your mind and brain, normally related to concentrating on the model based on the order.

Do you really like to learn more about machine learning? Then this book is the perfect solution for you.

Well, stress no more! Buy this book and also learn all...

and download it now!

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