Online Course Highlights

Prof. Sudeshna Sarkar via NPTEL
Co-ordinated by: IIT Kharagpur
8 Weeks duration
Discipline: Computer Science and Engineering
Language: English

This “Introduction to Machine Learning” course will give you a detailed introduction to the fundamental concepts of machine learning. Here you will be taught all about the popular machine learning algorithm in detail. The instructor will be covering all the standard and most popular supervised learning algorithms. This includes linear regression, logistic regression, decision trees, and much more. With that, you will get a detailed introduction to Bayesian learning and the Naïve Bayes algorithm. Going further, the instructor will be explaining in detail the basic clustering algorithms. You will understand the reduction methods in a step-by-step guide. Then the instructor will discuss the different issues relevant to the application of machine learning algorithms and so much more in detail. To get a better understanding of what to expect, you might want to explore AWS machine learning exams and their requirements.

What will you learn in this course?

If you enroll in this course, you would for sure learn a lot of things about Machine Learning.

First, you will get a detailed introduction to Machine Learning.
Then the instructor will talk about linear regression and overfitting in detail.
After that, you will understand what instance-based learning is.
Then you will understand all about the collaborative filtering-based recommendation.
Moreover, the instructor will talk about probability and Bayes learning in detail.
Next, you will understand what a support vector machine is.
After that, the instructor will give a detailed introduction to deep neural networks.
You will understand what backpropagation is.
Then you will learn about multilayer networks.
After that, you will get a detailed introduction to computational learning theory.
Next, the instructor will talk about the PAC learning model.
After that, you will understand what adaptive hierarchical clustering is.
Then you will learn all about the Gaussian mixture model.

Therefore this and many other things about Machine Learning will be learned in this course. In our latest update, we’re excited to introduce our “Machine Learning Finance Courses 2024,” offering cutting-edge insights into the intersection of finance and AI-driven technologies.

More Related Courses:

CS50’s Introduction to Computer Science

- - Harvard University via edX
  - 9 Problem Sets, 1 Final Project
  - 1,993,914+ students enrolled
  - 12 weeks of effort required
  - ★★★★★

Programming for Everybody – Getting Started with Python

Your Feedback:

There are no reviews yet. Be the first one to write one.

0.0

0.0 out of 5 stars (based on 0 reviews)

Excellent0%

Very good0%

Average0%

Poor0%

Terrible0%