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Get 2 books in 1 This is the bundle of two successful books in the market

Book 1: In "Machine Learning: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work" you will learn:

• The different types of learning algorithm that you can expect to encounter
  

The numerous applications of machine learning
The different types of machine learning and how they diffe
The best practices for picking up machine learning
What languages and libraries to work with
The future of machine learning
The various problems that you can solve with machine learning algorithms
And much more...

Book 2: In "Neural Networks: A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention" you will learn:

• The history of neural networks and the way modern neural networks work
  

How deep learning REALLY works
The different types of neural networks
The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being COMPLETELY LOST
How to build your own neural network
An effective technique for hacking into a neural network
Some introductory advice for modifying parameters in the code-based environment
And much more...

These books provide proven concepts and strategies for people who want to know more about machine learning and neural networks. After reading this bundle you will be able to choose the right kind of architecture, how to build a system that can learn, how to train it, and then how to use it to accomplish your goals.

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