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Paperback Machine Learning: A Step-by-Step Guide from Beginners to Expert. Concepts and Techniques (Beginners, Intermediate & Advanced) Book

ISBN: 1097726215

ISBN13: 9781097726219

Machine Learning: A Step-by-Step Guide from Beginners to Expert. Concepts and Techniques (Beginners, Intermediate & Advanced)

★★Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★


You are reading this guide because you're ready to learn about machine learning, artificial intelligence, and big data. Or maybe you want to consider having a career change or starting a career as a data scientist or machine learning scientist then this guide is for you. This guide is also for you if you are a business owner no matter the size of your organization and you want to start utilizing the power of Business Intelligence to improve sales and help improve the performance of your organization. This guide is very comprehensive, detailed and easy-to-understand and you will find in it how you can leverage the power of these rapidly expanding technologies that are shaping the world.

Or maybe you're already using machine learning and want to take things to the next level?

Then this E-book has been prepared to guide you because this E-book will share the secrets and techniques most tech giants like Uber, Amazon, Facebook use to improve sales and how you can apply the same system and techniques to suit the needs of your organization.


In fact this is the most current and up-to-date E-book on machine learning, Big Data, Data Mining and Artificial Intelligence.

We've left no stone unturned.

In this guide, we will cover:


Introduction


What is Machine Learning


Theory


Approaches


Basic Concepts and Ideals of Machine Learning


Application


Principles and Effects of Machine Learning


Techniques of Supervised Learning


Techniques of Unsupervised Learning


Artificial Intelligence


Information Theory


Computational Science


Exploratory Data Analysis


Predictive Analytics


Business Intelligent


Analytics


Data Mining


Big Data


Practical Usage: Pattern Recognition


Regularization


Regression Analysis


Conclusion


Furthermore, you do not need any technical background or coding experience to read this guide.


Click on the "Buy Now" button and get a copy of Machine Learning today

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