Pattern Recognition and Application

Pattern Recognition and Application

Engineering Academy

Learn Without Limits: Free Engineering Courses

FREE

Advanced course for professionals

Why enroll

People join this course to develop a strong understanding of how machines learn from data and make intelligent decisions. It is especially valuable for students and professionals in electronics, computer science, and data-related fields who want to move into areas like artificial intelligence, machine learning, image processing, and signal analysis. The course also supports preparation for higher studies, research, and competitive exams by strengthening mathematical reasoning and algorithmic thinking.

Opportunities that awaits you!

Earn a course completion certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review

Career opportunities

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

PATTERN RECOGINATION AND APPLICATION

30 Lectures

1658 min

Lecture 01 : Introduction
Preview
60 min
Lecture 02 : Feature Extraction - I
54 min
Lecture 03 : Feature Extraction - II
60 min
Lecture 04 : Bayes Decision Theory - I
57 min
Lecture 05 : Bayes Decision Theory - II
58 min
Lecture 06 : Normal Density and Discriminant Function - I
52 min
Lecture 07 : Normal Density and Discriminant Function - II
58 min
Lecture 08 : Bayes Decision Theory - Binary Features
51 min
Lecture 09 : Maximum Likelihood Estimation
53 min
Lecture 10 : Probability Density Estimation - I
60 min
Lecture 11 : Probability Density Estimation - II
57 min
Lecture 12 : Probability Density Estimation - III
55 min
Lecture 13 : Probability Density Estimation - IV
56 min
Lecture 14 : Dimensionality Problem
57 min
Lecture 15 : Multiple Discriminant Analysis
54 min
Lecture 16 : Principal Component Analysis - Tutorial
53 min
Lecture 17 : Multiple Discriminant Analysis - Tutorial
51 min
Lecture 18 : Perceptron Criteria - I
54 min
Lecture 19 : Perceptron Criteria - II
54 min
Lecture 20 : MSE Criteria
54 min
Lecture 21 : Linear Discriminator Tutorial
58 min
Lecture 22 : Neural Network - I
56 min
Lecture 23 : Neural Network - II
58 min
Lecture 24 : Neural Network -III/ Hopfield Network
53 min
Lecture 25 : RBF Neural Network - I
57 min
Lecture 26 : RBF Neural Network - II
53 min
Lecture 27 : Support Vector Machine
54 min
Lecture 28 : Clustering -I
53 min
Lecture 29 : Clustering -II
58 min
Lecture 30 : Clustering -III
50 min

Course details

Pattern Recognition and Applications focuses on the techniques and algorithms used to identify patterns, structures, and regularities in data. The course introduces statistical, mathematical, and computational methods for classifying and clustering data, extracting meaningful features, and making decisions based on observed patterns. It forms a core foundation for fields such as machine learning, computer vision, speech processing, and data analytics.

SOURCE-NPTEL[YOUTUBE]

Course suitable for

Electronics & Instrumentation
Telecommunication
Electronics & Telecommunication
Instrumentation

Key topics covered

Fundamentals of pattern recognition systems
Feature extraction and feature selection
Statistical decision theory
Bayesian classification techniques
Supervised and unsupervised learning
Clustering methods (k-means, hierarchical clustering)
Linear and nonlinear classifiers
Dimensionality reduction techniques (PCA, LDA)
Neural networks and basic learning algorithms
Applications in image processing, speech recognition, and bioinformatics

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities—all in a flexible and supportive environment.

Industry Veteran
Trainer Review

Lummus

I love how EveryEng makes complex engineering concepts easy to understand. The platform offers valuable insights, great mentors, and a supportive community. It's truly a one-stop solution for engineers worldwide.

Siddharth Mishra

Project Manager

Frankfrut, Germany

Subsea7

I was searching for a reliable platform to expand my engineering knowledge, and EveryEng exceeded my expectations. The content and courses are well-structured, informative, and taught by experienced professionals. A great platform for Engineers!

C P Sharma

Principal Engineer

London

Penta Global Engineering

Engineering education should be hands-on, and that’s exactly what EveryEng provides. From interactive Q&A sessions to on-the-job training, this platform offers everything a modern engineer needs to succeed!

Prashant Joshi

Operation Director

Dubai, UAE

Lockwood

The real-world projects gave my team the hands-on experience they needed to stand out to our clients! A special thanks to EveryEng team.

Poonam Dalal

Senior Project Manager

Dallas, USA

Halliburton

I had been looking for a reliable online platform for engineering courses, and EveryEng delivered beyond my expectations. The content is top-notch, the instructors are excellent, and the learning experience is seamless.

Harish Venugopal

Technical Professional

Bangalore, India

❮

❯

Engineering Academy

Learn Without Limits: Free Engineering Courses