Introduction of Machine Learning

Machine learning is a growing technology which enables computers to learn automatically from past data. Machine learning uses various algorithms for building mathematical models and making predictions using historical data or information. Currently, it is being used for various tasks such as image recognition, speech recognition, email filtering, Facebook auto-tagging, recommender system, and many more.

Objective

The main objective of this training is to develop primary programming skills with an in-depth knowledge of concepts and logic building in programming. The student will be able to write multiple logics at the end of the session. This will enable the candidate to be ready with basics for an entry level interview with any software company including MNCs.

Why is learn Machine Learning?

In the real world, we are surrounded by humans who can learn everything from their experiences with their learning capability, and we have computers or machines which work on our instructions. But can a machine also learn from experiences or past data like a human does? So here comes the role of Machine Learning.

Syllabus

note : Each module have multiple units

Module 1 : Introduction Module 2 : Supervised Learning Module 3 : Classification Module 4 : Miscellaneous Module 5 : 12 algorithms