IIT Kharagpur course on Introduction to Machine Learning

IIT Kharagpur course on Introduction to Machine Learning

 

Overview

Application is invited for the Introduction to Machine Learning course by the IIT Kharagpur, IIT Palakkad, IIT  Madras and IIT GOA.NSM Nodal Centres for Training in HPC and AI, along with CDAC, are organizing a 7-week course on Machine Learning. This is planned from March 2021 to April 2021 and is open to everyone.

 

Assessment

An end-of-course examination will be conducted online. Top performers will be given Book Prizes The successful candidates will be awarded a certificate with grades. Others will be given certificates of participation.

 

Dates

Course Registration Period

 

12 February 2021 to 28 February 2021

Course Start Date

 

9 March 2021

Course Duration

 

2 Months

 

Topics

The following topics will be covered 

  • Supervised learning - intro + k-Nearest Neighbors,
  • Linear regression,
  • Extensions of linear regression + polynomial curve fitting
  • , Linear models for classification, the Perceptron algorithm,
  • Logistic regression,
  • Optimization algorithms: Gradient Descent,
  • Newton’s method
  • Machine learning in practice: training,
  • Overfitting,
  • underfitting, bias-variance tradeoff,
  • SVM Overview, Decision trees, random forests,
  • Unsupervised learning - intro, PCA, Kernel PCA
  • K-Means,
  • Maximum Likelihood estimation,
  • Gaussian Mixture Models,
  • EM Algorithm and variants,
  • Spectral Clustering,
  • Intro to Online Machine Learning,
  • Intro to Multi-armed Bandits/ RL

 

Instructors

  • Dr. Clint P George
  • Dr. Satyanath Bhat
  • Dr. Arun Rajkumar
     

Fee

Student     Rs. 500
All Others    Rs. 2000

 

Eligibility

  • Ph.D. (any stream of Science or Engineering)
  • Masters (any stream of Science or Engineering)
  • 3rd and 4th year UG Students (any stream of Science or Engineering)
  • 3rd and 4th Year UG Students, PG Students of Arts stream (provided they meet the necessary prerequisites as mentioned earlier)
  • Non Students

 

How to apply Apply Here


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