Machine Learning

Online Course Highlights

Prof. Carl Gustaf Jansson via NPTEL
Co-ordinated by: IIT Madras
8 Weeks duration
Discipline: Computer Science and Engineering
Language: English

What is this Course about?

This is a brilliant course for anyone who is looking forward to learning the details regarding Machine Learning. This course will give you an insight into computer algorithms. You will look at how the computer algorithms improve automatically through experience and by the use of data. Explore our list of Top Machine Learning Certifications Online to enhance your skills in artificial intelligence.

What will you learn through this Course?

This an eight-week-long course, and through this course, you will be learning:

Week 1

In the first week, you will start by getting a brief introduction to Machine learning. Moving on, you will get into the details for, Foundation of Artificial Intelligence and Machine Learning. Additionally, the instructors will help you learn about Intelligent Autonomous Systems and Artificial Intelligence. Enhance your skills and expertise in artificial intelligence by exploring the top-rated machine learning courses by NPTEL. By the end of this week, you will know all of the applications of Machine Learning. Anyone interested in the intersection of technology and practical applications should not miss our Course Review: Machine Learning for Engineering and Science Applications for an in-depth exploration.

Week 2

This week will start by getting you familiar with the characterization of Learning Problems. You will study the feature-related issues. Moreover, you will look into the scenarios for Concept Learning.

Week 3

Moving on, you will study in detail the form of representation, decision trees, and belief networks. All of the previously gained concepts will help you to get familiar with Artificial Neural Networks. By the end of this week, you will know everything about generic algorithms and logic programming.

Week 4

This week is all about learning the Symbolic Representations and Weak Theories. You will get to investigate the topics of Generalization as Search, Decision Tree Learning Algorithms, Instance-Based Learning, and Cluster Analysis.

Week 5

Week 5 may seem like a roller coaster of concepts. In this week, you will start by learning about Inductive Logic programming and Reinforcement Learning. You will end the week by studying the case- Based Reasoning.

Week 6

Week 6 is filled with a lot of information and knowledge. So, you might not want to skip this week. You get to study the artificial Neural Networks, Perceptron’s, Model of neurons in an ANN. Moreover, you will get to know about the Recurrent Neural Networks, Hebbian Learning, and Associative Memory, etc.

Week 7

In the second last week, you will get to understand the tools and resources that can be used. You will study everything about tools and their applications. After learning about the tools, you will move forward on learning about Interdisciplinary inspiration.

Week 8

In the last week of this course, you will get fully prepared for the exam. Moreover, you will look into the applications, their example, and their uses.