Machine Learning for Engineering & Science Applications | IIT Madras - #24 A Linear Regression Example | Machine Learning for Engineering & Science Applications
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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 provides a practical demonstration of linear regression using MATLAB. It shows how to fit different types of curves (linear, quadratic, cubic) to a dataset, highlighting the use of inbuilt MATLAB functions for regression analysis. The lecture emphasizes the importance of exploring various model fits and understanding their implications in data science.
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#LinearRegression #MATLAB #DataScience #CurveFitting #PolynomialFit
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