NPTEL (National Programme on Technology Enhanced Learning) offers a course titled “Introduction to Machine Learning.” This course is designed to provide a comprehensive overview of Machine Learning (ML) and its applications.

Here is an overview of the course content:

1. Introduction to Machine Learning: Basic definitions, types of learning, and the essential concepts in ML.
2. Supervised Learning Algorithms, Including regression, classification, support vector machines, decision trees, and ensemble methods.
3. Unsupervised Learning Algorithms: Covering clustering, dimensionality reduction, and deep learning techniques.
4. Evaluation Methods: Cross-validation, confusion matrices, precision, recall, F1-score, etc.
5. Special Topics: Such as reinforcement learning, natural language processing, etc.
6. Project Work: Hands-on exercises and practical implementation.

This course might include video lectures, reading materials, quizzes, assignments, and a final examination. It is typically targeted at students, researchers, professionals, and anyone interested in understanding machine learning.

Please refer to the official NPTEL website for detailed information on the course’s prerequisites, instructors, duration, syllabus, and registration.