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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Pattern Recognition And Application certification course explores Signal Processing, Probability, and Graph Theory. Covering pattern recognition, including statistical, nonparametric, and neural network techniques, the course explores applications in machine vision and speech recognition. With an emphasis on analytical aspects, it equips students to apply concepts to real-world challenges upon completion.

Open to any interested learners, the Pattern Recognition And Application certification by Swayam covering Electrical, Electronics, and Communications Engineering explores feature extraction, pattern representation, and time-varying pattern recognition. With practical examples from machine vision and speech recognition, it delves into unsupervised classification techniques.

Also Read: Online Artificial Intelligence And Machine Learning Certification Courses

The Highlights

Elective Online Course
12 Weeks Duration
Offered by IIT Kharagpur

Programme Offerings

Certificate of completion
Practical Learning
Hands-on Experience

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 1000	yes	IIT Kharagpur

The Pattern Recognition And Application certification fees is free. However, if you want a certificate, you must register and take the proctored exam at designated centers, which is optional and comes with a fee of Rs 1000.

Pattern Recognition And Application Certification Fee Structure

Particulars	Total Fees
Pattern Recognition And Application (exam)	Rs 1000/-

Eligibility Criteria

Certification Qualifying Details

To receive the Pattern Recognition And Application certification by Swayam, you need a minimum average assignment score of 10/25 and an exam score of 30/75.

What you will learn

After completing the Pattern Recognition And Application certification syllabus, you will delve into the intricate world of pattern recognition, honing your understanding of feature extraction techniques and how to represent patterns in feature space effectively.

Upon completion of the Pattern Recognition And Application training, you will explore a comprehensive range of pattern recognition techniques, including statistical, nonparametric, and neural network approaches. You will also gain foundational knowledge of Signal Processing, Probability Theory, and Graph Theory.

Who it is for

Robotics EngineerData ScientistMachine Learning EngineerArtificial Intelligence EngineerAutomation Test Engineer

The Pattern Recognition And Application online course is suitable for individuals seeking a comprehensive understanding of pattern recognition. This course is particularly beneficial for:

Admission Details

Follow these steps to join the Pattern Recognition And Application classes:

Step 1: Browse the URL below:

https://onlinecourses.nptel.ac.in/noc23_ee119/preview

Step 2: Click on the “Sign-in/ Register” button

Step 3: Fill out the necessary details and submit the form

The Syllabus

Introduction
Feature Extraction - I
Feature Extraction - II

Bayes Decision Theory - I
Bayes Decision Theory - II

Normal Density and Discriminant Function - I
Normal Density and Discriminant Function - II
Bayes Decision Theory - Binary Features

Maximum Likelihood Estimation
Probability Density Estimation - I

Probability Density Estimation - II
Probability Density Estimation - III
Probability Density Estimation - IV

Dimensionality Problem
Multiple Discriminant Analysis

Principal Component Analysis - Tutorial
Multiple Discriminant Analysis - Tutorial
Perceptron Criteria - I

Perceptron Criteria - II
MSE Criteria

Linear Discriminator Tutorial
Neural Network - I
Neural Network - II

Neural Network -III/ Hopefield Network
RBF Neural Network - I

RBF Neural Network - II
Support Vector Machine
Clustering -I

Clustering -II
Clustering -III

Evaluation process

The Pattern Recognition And Application certification offers an optional exam. Your final score is determined by averaging the best 8 out of 12 assignments (25%) and your proctored exam score (75%).

Instructors

IIT Kharagpur Frequently Asked Questions (FAQ's)

1: What prerequisites are required for the Pattern Recognition And Application online course?

A basic understanding of Signal Processing, Probability Theory, and Graph Theory is assumed. It is designed for final-year undergraduate students in Electrical Sciences, but anyone with an interest can enroll.

2: How long is the Pattern Recognition And Application training, and what is the time commitment per week?

The course spans 12 weeks, with an expected commitment of several hours per week. It is structured to accommodate both final-year undergraduates and postgraduates.

3: Can professionals from fields other than Electrical Sciences benefit from the Pattern Recognition And Application online course?

Yes. The course is open to any interested learners, making it suitable for individuals from diverse backgrounds who want to gain insights into pattern recognition and its applications.

4: Are there practical applications covered in the Pattern Recognition And Application certification syllabus, or is it purely theoretical?

Practical applications are a key focus. The course includes examples from machine vision, speech recognition, and movement recognition, ensuring that the concepts learned can be directly applied to real-world scenarios.

5: What skills will I acquire upon completing the Pattern Recognition And Application certification course?

You will develop a comprehensive skill set, including proficiency in feature extraction, pattern representation, and various pattern recognition techniques.