Neural Networks in Machine Learning for Developers [Video]

More Information
  • Learn the math and mechanics of Machine Learning via a developer-friendly approach
  • Prepare yourself and other developers for working in the new, ubiquitous field of Machine Learning
  • Get an overview of the most well known and powerful tools to solve computing problems using Machine Learning.
  • Get an intuitive and down-to-earth introduction 
  • Apply the concepts to interesting and cutting-edge problems.

Most of us have heard about the term Machine Learning, but surprisingly the question frequently asked by developers across the Globe is, "How do I get started in Machine Learning?" One reason could be the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This systematic guide will teach you various Machine Learning techniques.

You will start with the very basics of neural networks and types. Then we learn about powerful variations in neural networks and Recurrent Neural Networks. Finally, we conclude with a synthetic introduction to more advanced Machine Learning techniques, such as GANs and reinforcement learning.

Style and Approach

This course gives you a glimpse into Machine Learning Models and the application of models at scale using clustering, classification, regression, and reinforcement learning, all with fun examples. Hands-on examples are presented to help you understand the power of problem-solving with Machine Learning and advanced architectures, software installation, and configuration.

  • Learn to develop efficient and intelligent applications by leveraging the power of Machine Learning
  • A highly practical guide explaining the concepts of problem solving in the easiest possible manner
  • Implement Machine Learning in the most practical way
Course Length 44 minutes
ISBN 9781789139792
Date Of Publication 31 Jan 2018