A State space is the set of all states reachable from the initial state by applying the appropriate control strategy and search method. State space search is a problem-solving technique used in Artificial Intelligence...

This hand-written well-organized document teaches the K-Nearest Neighbour (KNN) Algorithm with Example.

This hand-written well-organized document explains clustering and K-Means algorithms with multiple examples of 1-D data (set of values) and 2-D data (table of values).

This hand-written document implements the XOR gate using Neural Network. It shows all calculations step-by-step.

This hand-written well-organized document teaches the decision tree by example. It takes a small dataset and generates decision tree by calculating entropy, information gain and gain. The algorithm is implmeneted...

This hand-written well-organized document teaches the decision tree by example. It takes a small dataset and generates decision tree by calculating entropy, information gain and gain. The algorithm is implmeneted...

This hand-written document explains Back Propagation in Multi Layer Perceptron using an example neural network.

The future of urban planning and smart cities is being profoundly shaped by robotics and automation. These technologies are revolutionizing how we design, construct, and manage urban environments. Robotics, such as 3D...

AI is the simulation of human intelligence in machines, allowing them to learn from data, make decisions, and perform tasks like humans. It encompasses technologies such as machine learning, natural language...

This notes describes the behaviour of multi-agents in an environment and their communial and competitve interactions among themselves. In reinforcement learning, an agent is placed in an environment to autonomously...