Hello Learner, this post is to inform you about that IIT Kharagpur (Indian Institute of Technology, Kharagpur) Offers Premium Online Course For Free. IIT Madras launching a fresh course “Introduction to Machine Learning” Enrollments are now open for this course.
This course provides a concise introduction to the fundamental concepts in machine learning and popular machine learning algorithms. We will cover the standard and most popular supervised learning algorithms including linear regression, logistic regression, decision trees, k-nearest neighbour, an introduction to Bayesian learning and the naïve Bayes algorithm, support vector machines and kernels and neural networks with an introduction to Deep Learning. We will also cover the basic clustering algorithms. Feature reduction methods will also be discussed. We will introduce the basics of computational learning theory. In the course we will discuss various issues related to the application of machine learning algorithms. We will discuss hypothesis space, overfitting, bias and variance, tradeoffs between representational power and learnability, evaluation strategies and cross-validation. The course will be accompanied by hands-on problem solving with programming in Python and some tutorial sessions.
INTENDED AUDIENCE Elective course for UG, PG, BE, ME, MS, M.Sc, PhD
PRE-REQUISITES Basic programming skills (in Python), algorithm design, basics of probability & statistics
INDUSTRY SUPPORT Data science companies and many other industries value machine learning skills.Summary
|Course Status :||Upcoming|
|Course Type :||Elective|
|Duration :||8 weeks|
|Start Date :||26 Jul 2021|
|End Date :||17 Sep 2021|
|Exam Date :||26 Sep 2021 IST|
|Enrollment Ends :||02 Aug 2021|
|Category :||Computer Science and EngineeringArtificial IntelligenceData ScienceProgrammingRobotics|
|Credit Points :||2|
This is an AICTE approved FDP course
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Anyone who wants to learn new skills online without paying any penny.
How To Apply?
For Complete information, Checkout this YouTube Video Created by Tricky Man