Basic ideas and techniques in the design of intelligent computer systems.
Sub Category
- Data Science
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Objectives
- Identify potential areas of applications of AI
- Basic ideas and techniques in the design of intelligent computer systems
- Statistical and decision-theoretic modeling paradigm
- How to build agents that exhibit reasoning and learning
- Apply regression, classification, clustering, retrieval, recommender systems, and deep learning.
Pre Requisites
- The topics included in this topic will be related to probability theorem and linear algebra. So a basic knowledge of statistics and mathematics is an added advantage to take up this Machine learning course
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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