DIG0101TA – Introduction to Machine Learning

Current Status
Not Enrolled
Get Started

Machine Learning is the core of analytics in today’s world and is turning out to be a game-changer in various industries including manufacturing. This module aims at providing a conceptual understanding of various basic aspects including some key modules of Machine Learning without going into the technicalities of implementing Machine Learning through programming languages like Python.

By the end of this course, you will have a good understanding of the fundamental concepts of machine learning including data, model selection, model complexity, and so on. You will be able to design and implement a variety of machine learning algorithms in a variety of real-world scenarios. In this module, you will learn:

1. Importance of machine learning for individuals and organizations.
2. Analytics, Types of Analytics, and Importance of Analytics.
3. Machine Learning Algorithm Factors and Classification.
4. Techniques and Factors for solving the Classification Problem.

Estimated Time: 4.00 hours

Course Content

DIG0101TA205 – What is Machine Learning
DIG0101TA210 – Importance of Machine Learning
DIG0101TA215 – Types of Machine Learning
DIG0101TA220 – Classification
DIG0101TA225 – Regression
DIG0101TA230 – Ensemble
DIG0101TA235 – Association Analysis
DIG0101TA240 – Clustering
DIG0101TA245 – Conclusion
DIG0101TA550 – Certificate