Machine Learning Techniques
Description
- To understand the need for machine learning for various problem solving
- To study the various supervised, semi-supervised and unsupervised learning algorithms in machine learning
- To learn the new approaches in machine learning
- To design appropriate machine learning algorithms for problem solving
What Will I Learn?
- Differentiate between supervised, unsupervised, semi-supervised machine learning approaches
- Apply specific supervised or unsupervised machine learning algorithm for a particular problem
- Analyse and suggest the appropriate machine learning approach for the various types of problem
- Design and make modifications to existing machine learning algorithms to suit an individual application
- Provide useful case studies on the advanced machine learning algorithms
Topics for this course
5 Lessons50h
MACHINE LEARNING TECHNIQUES
Lesson 1-MACHINE LEARNING TECHNIQUES
Lesson 2-NEURAL NETWORKS AND GENETIC ALGORITHMS
Lesson 3-BAYESIAN AND COMPUTATIONAL LEARNING
Lesson 4-ADVANCED LEARNING
Lesson 5-Functions
About the instructor
518 Courses
3 students