Course description

Machine Learning (ML) is a field of artificial intelligence that involves the use of algorithms and statistical models to enable machines to learn from data, make decisions, and improve their performance over time. It plays a vital role in the development of intelligent systems that can analyze data, recognize patterns, and make predictions or decisions without being explicitly programmed.

 Machine Learning course covers the fundamentals of ML, including supervised and unsupervised learning, neural networks, and deep learning. Students will explore the design and development of predictive models, natural language processing, and computer vision. The course emphasizes the understanding of ML concepts, designing and deploying intelligent systems, and developing expertise in building scalable ML models.

 This course aims to provide a comprehensive understanding of Machine Learning, enabling students to build innovative solutions that drive real-world impact.

What will i learn?