About this course
Introduction:
Machine learning is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence.
Objectives:
The primary purpose of the machine learning course is to discover patterns in the user data and then make predictions based on these and intricate patterns for answering business questions and solving business problems. Machine learning help analyzes the data as well as identify trends.
Course Outlines:
§ Introduction
§ Crux
§ Categories
§ Supervised/Unsupervised Learning
§ Reinforcement Learning
§ Deep Learning
§ Algorithms
Who should attend?
§ Students
§ IT Professionals
Learning Outcomes:
Understand and describe how computers can learn from experience.
§ Use statistical techniques for classification and measuring their accuracy.
§ Apply supervised learning techniques for classification.
§ Apply un-supervised learning techniques for classification.
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