Artificial Intelligence

Discover how to build intelligent applications centered on images, text, and time series data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. You'll learn about various algorithms that can be used to build Artificial Intelligence apps. Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. The processes include learning, reasoning and self-correction. AI is accomplished by studying how human brain thinks, and how humans learn, decide, and work while trying to solve a problem. What is for you ? - Introduction to Artificial Intelligence (AI) and intelligent agents, history of Artificial Intelligence - Building intelligent agents (search, games, logic, constraint satisfaction problems) - Machine Learning algorithms - Applications of AI (Natural Language Processing, Robotics/Vision) App Description Artificial Intelligence app has detailed description of theory and algorithm that involves in making system think like human brain. You will enjoy the learning through simple and easy to use User Interface . - Day and Night mode in reading screen to make your reading comfortable . - You can mark topic favourite and read it through a separate section of app with a great ease. - Latest news updates from across the globe on Artificial Intelligence (AI) in news section. - Easy sharing of stories from the home screen itself via Facebook, Twitter, Google Plus, WhatsApp and more App contents 1) Introduction to Artificial Intelligence (AI) - Turing Test - History of AI - Typical AI problem - The AI Cycle 2) Problem solving - State Space - Graph Searching - A* search - A Generic Search - Genetic Algorithm - Breadth-First Search - Depth Search - Heuristic Search - Games - Backtracking - Minimax Algorithm - Uninformed Search - N-Queen sample - Optimal Decision - Proof of Admissibility - Search Tree - Alpha Beta Pruning - Look Ahead - Iterative-Deepening - Greedy Search - Search Graph - Informed Search - Bi-directional Search - Consistency driven - Adversarial Search - Path consistency - Method of Informed - Other Memory limited - Properties of depth 3) Knowledge and reasoning - Propositional Logic - Rule of Inference - Hidden Markov Model - Bayesian networks - Forward chaining - First order logic - AND/OR Trees - Semantics - Knowledge Level - Rule based systems - Pure Pro-log - Unification - Herbrand Universe - Soundness - Non-Monotonic 4) Acting logically and learning - Reinforced Learning - Semantics of Bayesian - Supervised Learning - Learning issue - Semantic Networks - Neural Network - Native Bayes Model - Artificial Neural - Probabilistic - Frames - Decision Tree Pruning - Perceptron - Statistical learning - Candidate Elimination - Back-Propagation - Unsupervised - Taxonomy of Learning - Extending Semantic - Multi-Layer - Splitting Functions - Interleaving vs. Non-Interleaving of Sub-Plan - Planning as search - The General form of EM Algorithm 5) Communicating, perceiving and acting - Regression Algorithm - Natural Language - Clustering Algorithm - Statistical Algorithm - Pattern Recognition - Usage & Application - Ambiguity - Steps in Language These five units contains 142 topics and by reading all you will be good enough to design a system using languages like R, Python, SAS, Matlab, Weka, SPSS etc. Your data privacy We do not seek any usage permission and ask user to share their valuable data. This app AI require no special user data to run. All complex real world problems being solved with applications of Artificial Intelligence (AI).Download the Artificial Intelligence app and start preparing for your Engineering exams like a handbook. Have feedback on our App? We are always looking for way to improve...! Email us anytime at [email protected]