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...
This is review paper, you can submit as a review paper for your semester project. The headings are given below: Abstract Introduction AI techniques in Cyber Security Threat detection using 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.
If you're looking for robotics lessons, the downloads include a complete tutorial, and code, for creating a real, remote-controlled robot car. You can download the following files: A Python script to control the car...
Full handwritten Artificial intelligence notes. Please feel free to contact me if you want to learn anything.
Are you looking for a professionally crafted PowerPoint presentation that covers essential topics in Artificial Intelligence (AI)? Our "Comprehensive AI Presentation" is your ideal solution. Whether you're a student...
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...
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...