Applied Linear Algebra for Signal Processing, Data Analytics and Machine Learning

This course helps learners understand both the basics and advanced ideas of Linear Algebra, with a strong focus on how it is used in real life. Linear Algebra is a powerful math tool that plays a key role in many modern technologies and industries.

In this course, you will see how Linear Algebra is applied in different fields, such as:

• Wireless Communication: Understanding MIMO and OFDM systems, beamforming, and how signals are estimated over communication channels.

• Machine Learning: Learning how algorithms like regression, clustering, PCA, SVM, and face recognition work behind the scenes.

• Signal Processing: Applying math to signal estimation, image compression, robotics, and dynamic systems.

• Data Analytics: Building recommender systems, predicting and forecasting data, and understanding financial models.

• Operations Research: Solving real-world problems using Markov chains, inventory control, and supply chain management.

• Other Applications: Analyzing electrical circuits, social networks and graphs, and managing traffic flow efficiently.

This course is suitable for undergraduate and postgraduate students, as well as working professionals, engineers, scientists, and managers. It is ideal for anyone who wants to learn how Linear Algebra is used in modern fields like Machine Learning, Data Analytics, Signal Processing, and Wireless Communication in a clear and practical way.

Source: IIT-Kanpur Nptel [Youtube Channel]