Machine Learning Foundations -An Intuitive Approach
Speaker: Kiran Gunnam – Austin, TX, United StatesTopic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
Abstract
This lecture offers an intuitive treatment of the important machine learning approaches. This lecture covers supervised Learning and unsupervised learning. Various classic machine learning as well as modern deep neural networks and deep belief networks are covered. How to build an end-to-end application is covered in depth focusing on selecting right machine learning algorithm, data preprocessing and evaluating model.
About this Lecture
Number of Slides: 45Duration: 60 minutes
Languages Available: English
Last Updated:
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