
About Course
Our Data Science Track 2 builds on the foundational concepts in our AI/DS/Analytics Track 1 and offers a more in-depth, deep dive into the domain of Advanced Analytics, Machine Learning and Artificial Intelligence. Our DS Track 2 presents an overview of machine learning concepts, algorithms, methodologies, and processes. Offering an introduction into the fundamental concept of deep learning with practical illustration of how deep learning is being applied in practice. This track will enable you to work on Data Science and Advanced Analytics projects with data from real-life, practical use-cases across different industries and sectors. You will be able to develop machine learning models using supervised and unsupervised learning algorithms such as regression, classification, clustering, and time series forecasting. You will also be exposed to two specialization in Artificial Intelligence: Computer vision for object detection, image / video analysis and text analytics using Natural language processing.
Course Content
Class-01: Introduction to AI and ML Landscape
Class Video and Shared Resources
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