Mathematical Foundations of AI
About this course
"Mathematical Foundatiouns of AI" offers a rigorous introduction to the fundamental concepts of linear algebra, calculus, and optimization theory that form the mathematical basis of machine learning, data science, deep learning, and artificial intelligence. It explores key topics including a comprehensive treatment of vectors and matrices, dimensionality reduction techniques, and a range of optimization methods, from approaches for unconstrained and constrained problems to iterative algorithms.
82/100
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- What the provider tells you
- 31/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understanding of linear algebra concepts
- knowledge of calculus applications in AI
- ability to apply optimization methods to problems
- familiarity with dimensionality reduction techniques
Course objectives
- teach fundamental mathematical concepts related to AI
- explore optimization methods for machine learning
- provide a solid foundation for further study in data science and AI
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