Neural Networks for Beginners: An Easy Textbook for Machine Learning Fundamentals to Guide You Implementing Neural Networks with Python and Deep Lear

If you think that Neural Networks and Artificial Intelligence are the present and, even more, the future of technology, and you want to be part of it... well you are in the right place, and you are looking at the right book.

If you are reading these lines you have probably already noticed this: Artificial Intelligence is all around you. Your smartphone that suggests you the next word you want to type, your Netflix account that recommends you the series you may like or Spotify's personalised playlists. This is how machines are learning from you in everyday life. And these examples are only the surface of this technological revolution.

The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to program and use neural networks, and to do that Neural Networks for Beginners is the perfect way.

In this book you will learn:

• The types and components of neural networks
• The smartest way to approach neural network programming
• Why Algorithms are your friends
• The "three Vs" of Big Data (plus two new Vs)
• How machine learning will help you making predictions
• The three most common problems with Neural Networks and how to overcome them

Even if you don't know anything about programming, Neural Networks is the perfect place to start now. Still, if you already know about programming but not about how to do it in Artificial Intelligence, neural networks are the next thing you want to learn. And Neural Networks for Beginners is the best way to do it.