Video Description
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.