Machine learning: The Concepts

 What Will I learn?

 Prepared for professionals aspiring to learn the complete picture of machine learning and artificial intelligence. This content caters the learning needs of both the novice learners and experts, to help them understand the concepts and implementation of artificial intelligence.

 Description

Today’s Artificial Intelligence (AI) has far surpassed the hype of block chain and quantum computing. The developers now take advantage of this in creating new Machine Learning models and to re-train the existing models for better performance and results. This will give an introduction to machine learning and its implementation in Artificial Intelligence.                       

The course covers the following sections:

•   What are the different types in machine learning?
•   What are the different algorithms available for developing machine learning models?
•   What tools are available for developing these models?
•   What are the programming language choices?
•   What platforms support development and deployment of Machine Learning applications?
•   What IDEs (Integrated Development Environment) are available?
•   How to quickly upgrade your skills in this important area? 

Prerequisites     

The learners of this contents are expected to know the basics of Python programming. Besides, they need to have a solid understanding of computer programing and fundamentals.