Machine learning is a topic in computer science wherein the computers learn characteristics and behaviors without being programmed explicitly to do so. Our program in MACHINE LEARNING covers the foundational concepts and provides hands-on learning experience with leading analytical tools, such as SAS, R, Python, Hive, Spark and Tableau. This knowledge can also be used for functional analytics across several domains. Candidates also have the opportunity to gain exposure to business perspectives and the best of industry practices through guest lectures and the submission of projects.
The course content for Machine Learning includes the following:
- Introduction to machine learning
- Machine learning techniques
- Supervised learning
- Unsupervised learning