Course Description


Machine Learning is a go-along domain with Artificial Intelligence in Computer Science and Technology, which deals with training the machines with previously trained models. The system self-learns the process improves without munch of human intervention required. With the world driven by advancements in Artificial Intelligence and its technologies today, Machine Learning is gradually making its stand in various fields. Machine Learning is also one of the most sought job choices, and thus many aspirants learn it. This course introduces you to the world to Machine Learning. You will undersand niche concepts such as Supervised and Unsupervised learning, Regression and Classification. This course will educate you about different platforms where you can participate in competitions conducted world wide such as hackathon, kaggle. You also get to know the concepts behind recommendation systems and how ML on cloud is emerging.

The faculty for the course is Dr. Abhinanda Sarkar, Ph.D. from Stanford University and Ex-Faculty MIT, is Academic Director at Great Learning for Data Science and Machine Learning Programs.


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