Online Nptel Best Machine Learning Course

This article is for all students who have been enrolled in the computer science field. Today you will get the best and complete information about this online nptel course i.e Best Machine Learning Course.

How Course Be Like and Purpose:

The purpose of this online nptel course is to give a broad introduction to machine learning, as being a part of artificial intelligence and computer science. The course is not aimed to be a professional course in the sense of giving hands-on knowledge on specific algorithms, coding in specific languages, and apply to specific problems. You can learn many such alternative courses. Machine learning has imported much relevant knowledge from statistics and probability theory.

This course will hopefully make you better computer scientists, who are able to handle data analysis problems but it will not make you a general statistician or data scientist.

Best Machine Learning course ->Developing Algorithms

What is Machine Learning and More

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

The discipline is increasingly used by many professions and industries to optimize processes and implement adaptive systems. The course places machine learning in its context within AI and gives an introduction to the most important core techniques such as decision tree-based inductive learning, inductive logic programming, reinforcement learning, and deep learning through decision trees

Course Summary:

• Course Status: Ongoing
• Course Type: Elective
• Duration: 8 weeks
• Category: Computer Science and Engineering
• Credit points: 2
• Co-ordinated By: Professor Carl Gustaf Jansson
• Medium of lecture: By online videos( Can be downloaded)
• Notes: Videos are transcripted into notes
• Reference Books: Provided

8 Week nptel online course as follows:

WEEKS	LECTURE 1	LECTURE 2	LECTURE 3	LECTURE 4	LECTURE 5
WEEK 1	Introduction to the Machine Learning Course	Foundation of Artificial Intelligence and Machine Learning	Intelligent Autonomous Systems and Artificial Intelligence	Applications of Machine Learning	Tutorial for week01
WEEK 2	Characterization of Learning Problems	Objects, Categories, and Features	Feature related issues	Scenarios for Concept Learning	Tutorial for week02
WEEK 3	Forms of Representation	Decision Trees	Bayes (ian) Belief Networks	Artificial Neural Networks	Tutorial for week03
WEEK 4	Genetic algorithm	Logic Programming	Inductive Learning based on Symbolic Representations and Weak Theories	Generalization as Search – Part 01	Generalization as Search – Part 02
WEEK 5	Decision Tree Learning Algorithms – Part 01	Decision Tree Learning Algorithms – Part 02	Instance-Based Learning – Part 01	Instance-Based Learning – Part 02	Cluster Analysis
WEEK 6	Tutorial for week04	Machine Learning enabled by Prior Theories	Explanation Based Learning	Inductive Logic Programming	Reinforcement Learning – Part 01 Introduction
WEEK 7	Reinforcement Learning – Part 02 Learning Algorithms	Reinforcement Learning – Part 03 Q – Learning	Case-Based Reasoning	Tutorial for week05	Fundamentals of Artificial Neural Networks – Part1
WEEK 8	Fundamentals of Artificial Neural Networks – Part2	Perceptrons	Model of Neuron in an ANN	Learning in a Feed-Forward Multiple Layer ANN – Backpropagation	Recurrent Neural Networks MORE TO KNOW

World-wide Recognized Certificate

The course is free to enroll in and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centers. The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).

Registration URL: Announcements will be made when the registration form is open for registrations. The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, they will be mentioned then.

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE WEEKLY ASSIGNMENT SCORE >=10/25(from all 12 assignments) AND
UNPROCTORED PROGRAMMING EXAM SCORE >=10/25 AND PROCTORED EXAM SCORE >= 20/50. 

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