IIT Kharagpur - Introduction to Machine Learning
4.5 /5- Offered byNPTEL
- Public/Government Institute
Introduction to Machine Learning at NPTEL Overview
Duration | 12 weeks |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to Machine Learning at NPTEL Highlights
- Enroll for free
- Pay for Certification Examination
- Offered by IIT Kharagpur
- Learn from Sudeshna Sarkar, Head of the Department of Computer Science and Engineering
- University credits Course
Introduction to Machine Learning at NPTEL Course details
- Graduates & Post Graduates including BE, ME, MS, MSc, PhD
- The course will be accompanied by hands-on problem solving with programming in Python and some tutorial sessions.
- This course provides a concise introduction to the fundamental concepts in machine learning and popular machine learning algorithms. We will cover the standard and most popular supervised learning algorithms including linear regression, logistic regression, decision trees, k-nearest neighbour, an introduction to Bayesian learning and the na¯ve Bayes algorithm, support vector machines and kernels and neural networks with an introduction to Deep Learning
Introduction to Machine Learning at NPTEL Curriculum
Week 1
Lecture 01: Introduction
Lecture 02: Different Types of Learning
Lecture 03: Hypothesis Space and Inductive Bias
Lecture 04: Evaluation and Cross-Validation
Tutorial I
Week 2
Lecture 05 : Linear Regression
Lecture 06 : Introduction to Decision Trees
Lecture 07 : Learning Decision Tree
Lecture 08 : Overfitting
Lecture 9: Python Exercise on Decision Tree and Linear Regression
Tutorial II
Week 3
Lecture 05 : Linear Regression
Lecture 06 : Introduction to Decision Trees
Lecture 07 : Learning Decision Tree
Lecture 08 : Overfitting
Lecture 9: Python Exercise on Decision Tree and Linear Regression
Tutorial II
Week 4
Lecture 05 : Linear Regression
Lecture 06 : Introduction to Decision Trees
Lecture 07 : Learning Decision Tree
Lecture 08 : Overfitting
Lecture 9: Python Exercise on Decision Tree and Linear Regression
Tutorial II
Week 5
Lecture 05 : Linear Regression
Lecture 06 : Introduction to Decision Trees
Lecture 07 : Learning Decision Tree
Lecture 08 : Overfitting
Lecture 9: Python Exercise on Decision Tree and Linear Regression
Tutorial II
Week 6
Lecture 30: Introduction
Lecture 31: Multilayer Neural Network
Lecture 32 : Neural Network and Backpropagation Algorithm
Lecture 33: Deep Neural Network
Lecture 34: Python Exercise on Neural Network
Lecture 35: Tutorial VI
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