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#27 Generalized Function for Linear Regression
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Machine Learning for Engineering & Science Applications | IIT Madras - #27 Generalized Function for Linear Regression

Unlock the Future: Master AI & Machine Learning with NPTEL-IITM’s Comprehensive Course! Dive into Neural Networks, Deep Learning, Probabilities, and Optimization Techniques tailored for Engineering & Science Applications. Your AI journey starts here!

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22 learners

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.

This course includes

  • 32 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture introduces generalized functions for linear regression, extending the model's capabilities to handle polynomial regression and datasets with multiple features. It showcases a MATLAB function for implementing a generalized linear regression model, emphasizing its flexibility and applicability to various data scenarios. The lecture also highlights the importance of feature engineering in enhancing model performance. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #LinearRegression #PolynomialRegression #GeneralizedLinearModel #MATLABFunctions #FeatureEngineering

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