Machine Learning for Engineering & Science Applications | IIT Madras - #18 Optimization | Part 1 | Unconstrained Optimization
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What you'll learn
Understand the historical development and foundational concepts of artificial intelligence.
Gain proficiency in applying machine learning techniques to engineering and science problems.
Develop skills in using linear algebra and calculus for machine learning modeling.
Learn to implement and optimize machine learning algorithms using Python packages.
Welcome to 'Machine Learning for Engineering & Science Applications' course !
This lecture marks the beginning of the optimization module, focusing specifically on unconstrained optimization. It explains the relevance of optimization in machine learning, highlighting its role in selecting the best models for given data sets. The lecture introduces common optimization techniques used in unconstrained scenarios.
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#Optimization #UnconstrainedOptimization #MachineLearningModels #ModelSelection
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