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Bayesian Network is a probabilistic graphical model that represents random variables and their conditional interdependencies through directed acyclic graphs (DAG).
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Inference Engine performs these tasks with the help of two reasoning techniques: Forward and Backward Chaining techniques.
#forward chaining#backward chaining#artificialintelligence#ai#machinelearning#deeplearning#data science
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Expert Systems are computer programs that use AI technology to imitate the decision-making capabilities of a human expert, such as analysis, designing, judgment, problem-solving, etc.
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Fuzzy Logic Systems is a vital part of various AI applications and makes systems capable of performing human-like reasoning.
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Artificial Intelligence Agent is a program or autonomous entity with an ability to make decisions, perform a service, and achieve results based on user inputs, experiences, and most importantly, environmental observations.
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Alpha Beta Pruning is a search algorithm that is used to decrease the number of nodes or branches that are evaluated by the Minimax Algorithm in the search tree.
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Understand what are Artificial Neural Networks and its various components, also answers to various questions like where it is used? What are its types?
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This is an elaborated guide to Hill Climbing Algorithm in Artificial Intelligence. Understand how the hill-climbing algorithm helps in solving complex problems and what are its important features, working, variants, advantages and problems associated with it.
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Informed Search Algorithm, contains an array of knowledge, like distance to the goal, path cost, steps to reach the goal node, among others, which helps it reach the solution more efficiently, without compromising time and cost of the search.
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Knowledge Representation and Reasoning in artificial intelligence, represent the information about the world in a form that can be utilized by a system to solve complex tasks, such as diagnosing medical conditions, problem solving, knowledge reasoning, and more.
#artificalintelligence#machine learning#machine intelligence#ai#knowledge representation#knowledge reasoning
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The Minimax Algorithm, is a recursive or backtracking algorithm typically used in turn-based, two-player games.
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A subset of Artificial Intelligence, Machine Learning, provides computers the ability to learn through inference and pattern analysis, without needing to be explicitly programmed.
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Understand what are the different steps involved in the implementation of natural language processing along with its techniques, components, example, use cases, advantages, disadvantages and more.
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In artificial intelligence, the search algorithm is used to assess problem space and various sequence of actions.
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Semantic Networks or Semantic Net is a knowledge representation technique used for propositional information. In other words, it is a directed or undirected graph consisting of vertices.
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Check out our following article on types of AI that elaborates on the importance and change in detail, with their examples.
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To provide smooth functioning of AI machines and systems, Uninformed Search Algorithm is used that enables the machines to perform assigned tasks accurately and reach its goal or result with utmost swiftness.
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