Machine Learning for Developers: 2-in-1

Course details

Are you looking forward to learning the basics of Machine Learning and develop high performing apps? Then, this Learning Path is perfect for you.

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 as well as Neural Networks in Machine Learning.

This comprehensive 2-in-1 course gives you a clear understanding of Machine Learning models and the application of models at scale using clustering, classification, regression, and reinforcement learning, all with interesting examples. This Learning Path is a highly practical guide explaining problem-solving concepts in the easiest possible manner. It will help you develop efficient and intelligent applications by leveraging the power of Machine Learning.

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Getting Started with Machine Learning for Developers, covers the basics of Machine Learning to make high performing day-to-day apps. Youll start with the very basics of data and mathematical models in easy-to-follow language that you are familiar with, youll feel at home while implementing the examples. Learn the various libraries and frameworks used in the world of Machine Learning, and then, without wasting any time, you will get to the point and implement regression, clustering, classification, and more, all with fun examples.

The second course, Neural Networks in Machine Learning for Developers, covers Machine Learning Models and the application of models at scale using clustering, classification, regression, and reinforcement learning, all with fun examples. Youll start with the very basics of neural networks and types. Youll then learn about powerful variations in neural networks and Recurrent Neural Networks. Finally, youll conclude with a synthetic introduction to more advanced Machine Learning techniques, such as GANs and reinforcement learning.

By the end of this training program, youll enhance your knowledge of Neural Networks and uplift your applications with the power of Machine Learning.

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