Machine Learning: A quick guide to Artificial Intelligence, Neural Network and Cutting Edge Deep Learning Techniques for beginners

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Do you want to know, How to work with Robot Program?

Do you want to become an expert Robot/Machine Programmer? And impress your friends with the programs you can make from scratch, Then you are on the right way and keep reading this Machine Learning book.

From self-driving cars, recommendation systems to face and voice recognition, machine learning is the direction of the future. Would you choose to learn the mathematics behind machine learning to enter the fields of data analysis and artificial intelligence? There are not many resources that give detailed and straightforward examples and that go step by step through the topics of machine learning. If you are read this “Machine Learning: a quick guide to Artificial Intelligence, Neural Network and Cutting Edge Deep Learning Techniques for beginners”, you are at the right place. This book not only explains what kind of mathematics is involved and the confusing notation, but also directly presents the fundamental topics of machine learning. This book will help you to learn smoothly and naturally, that will prepare you for more advanced topics besides taking away the belief that machine learning is complicated and difficult.

In this book, you will attain helpful information for getting started, such as:Criteria that help distinguish tasks that are suitable for machine Supervised Machine LearningNeural NetworksUnsupervised Machine Learning Learning by Reinforcement Neural NetworksNeural Networks versus Conventional Computers Deep LearningSupervised Modes and Unsupervised Modes Running Python Getting Started Artificial Intelligence, Machine Learning, and Deep LearningThe Future Promise of Artificial Intelligence and deep learning and more

How many hours of your life are you willing to waste to gather partial or false information when you can get everything you require to REACH YOUR GOALS by reading this fantastic guide.

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Product Details

  • Publisher‏:‎Independently published (July 7, 2019)
  • Language‏:‎English
  • Paperback‏:‎77 pages
  • ISBN-10‏:‎1079189386
  • ISBN-13‏:‎978-1079189384
  • Item Weight‏:‎6.1 ounces
  • Dimensions‏:‎6 x 0.18 x 9 inches
    • Best Sellers Rank:#4,119,130 in Books
    • #1,210 in Machine Theory (Books)