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

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

          
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About the Book

★★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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Product Details
  • ISBN-13: 9781097726219
  • Publisher: Amazon Digital Services LLC - KDP Print US
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 126
  • Spine Width: 7 mm
  • Width: 152 mm
  • ISBN-10: 1097726215
  • Publisher Date: 10 May 2019
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 177 gr


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