Graph Theory Courses and Certifications

CodeHelp - by Babbar

Time and Space Complexity - How to Avoid Time Limit Exceeded

1 rating

Learn time and space complexity concepts to optimize code performance and avoid time limit exceeded errors. Includes practical examples and problem-solving techniques.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

NPTEL;  IIT Madras

Artificial Intelligence

1 rating

Explore artificial intelligence fundamentals, algorithms, and applications. Learn about search techniques, game theory, planning, expert systems, logic, and constraint satisfaction problems.

• YouTube
• 1 day 16 hours
• Self-Paced
• Free Video

NPTEL;  IIT Guwahati

Fundamentals of Artificial Intelligence

1 rating

Comprehensive exploration of AI concepts, from problem-solving and search algorithms to knowledge representation, reasoning, planning, decision-making, and various machine learning techniques.

• YouTube
• 1 day 1 hour
• Self-Paced
• Free Video

Social Network Analysis - Lab Exercises in R for Beginners

Master social network analysis through hands-on R programming exercises covering graph visualization, centrality measures, clustering, and network metrics using the iGraph package.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Mathematics for Computer Science - Spring 2024

Master discrete mathematics fundamentals including logic, graph theory, cryptography, and probability with proof techniques essential for computer science applications.

• YouTube
• 1 day 7 hours 40 minutes
• Self-Paced
• Free Video

Matrix Calculus for Machine Learning and Beyond - IAP 2023

Master matrix calculus for machine learning with MIT's comprehensive approach to derivatives in higher dimensions, optimization, and automatic differentiation techniques.

• YouTube
• 13 hours 55 minutes
• Self-Paced
• Free Video

Optical Flow in Computer Vision - Lecture 6

Learn about optical flow in computer vision, covering applications, optimization problems, Laplacians, and solutions, with practical examples and in-depth explanations.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

XGBoost

Learn to implement XGBoost for regression and classification, explore its mathematical foundations, and master advanced optimizations in Python.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

NPTEL;  IIT Kanpur

Microeconomics - Theory and Applications

Comprehensive exploration of microeconomic principles, covering consumer theory, production, market structures, and analytical tools like calculus and linear programming.

• YouTube
• 1 day 7 hours
• Self-Paced
• Free Video

NPTEL;  IIT Kharagpur

Deep Learning

Comprehensive exploration of deep learning concepts, from feature descriptors to advanced neural networks, covering theory and practical applications in computer vision and generative models.

• YouTube
• 1 day 7 hours
• Self-Paced
• Free Video

NPTEL;  IIT Kharagpur

Optimal Control

Comprehensive exploration of optimization techniques, from unconstrained problems to dynamic optimization, covering linear and non-linear programming, optimal control, and robust stability analysis.

• YouTube
• 2 days 10 hours
• Self-Paced
• Free Video

NPTEL;  IIT Kanpur

Computer Algorithms - 2

The course discusses efficient algorithms from a large number of domains. This course assumes the knowledge of data structures, the knowledge big-O notation and the concept of time and space complexity of an algorithm.

• YouTube
• 1 day 6 hours
• Self-Paced
• Free Video

NPTEL;  IIT Madras

Manufacturing Systems Management

Comprehensive exploration of manufacturing systems, covering cellular manufacturing, JIT, synchronous manufacturing, and flexible systems, with focus on optimization and efficiency.

• YouTube
• 1 day 10 hours
• Self-Paced
• Free Video

NPTEL;  IIT Kharagpur

Dynamics of Physical System

This course covers lessons on newton's method and constraints, derivation of the Lagrangian equation, bond graph approach, vector field around equilibrium points, high dimensional linear systems, and dynamics of nonlinear systems.

• YouTube
• 1 day 8 hours
• Self-Paced
• Free Video

NPTEL;  IIT Delhi

An Introduction to Artificial Intelligence

Comprehensive exploration of AI fundamentals, covering search algorithms, game theory, logic, uncertainty, Bayesian networks, and reinforcement learning, with historical context and practical applications.

• YouTube
• 1 day 8 hours
• Self-Paced
• Free Video