Professional AI

  ProfessionalAI is here making Artificial Intelligence accessible and comprehensible for all by providing a repository of critically analyzed and researched content. We explore the spectrum of AI to offer you organized and easy-to-understand information, while answering critical questions and solving problems.  

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This is complete guide to Bayesian networks.You can learn bayesian network example,types, features,components,applications,classifiers etc.

Bayesian Network is a probabilistic graphical model that represents random variables and their conditional interdependencies through directed acyclic graphs (DAG).

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This is a complete guide to Forward and Backward Chaining in Artificial Intelligence. Learn about inference engine in AI along with the properties, algorithm, benefits, drawbacks and comparison of forward and backward chaining in artificial intelligence.

Inference Engine performs these tasks with the help of two reasoning techniques: Forward and Backward Chaining techniques.

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This is our complete guide to different Experts systems. Explore characteristics,example and architecture of rule based systems here.

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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Understand the importance of Fuzzy Logic Systems In Artificial Intelligence along with its implementation, architecture, applications, advantages and more.

Fuzzy Logic Systems is a vital part of various AI applications and makes systems capable of performing human-like reasoning. 

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This is our complete guide to different AI agents and its types. Learn characteristics and 5 types of AI agents..

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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This is one of the best guides on alpha beta pruning.Learn its example,working, implementation with minimax algorithm, along with advantage and disadvantages.

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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This is an illustrated guide to Artificial Neural Network. Understand the importance of artificial neural network,its types,algorithm, advantages, disadvantages, etc.

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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This is a complete guide to informed search algorithm in AI. Learn more about its strategies, differences and Heuristic Function in detail.

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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This is a detailed guide to Knowledge Representation & Reasoning in Artificial Intelligence

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. 

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This is a illustrated guide to Minimax Algorithm in Artificial Intelligence. Learn how minimax algorithm is implemented along with its properties, advantages, example,disadvantages, etc.

The Minimax Algorithm, is a recursive or backtracking algorithm typically used in turn-based, two-player games.

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This is a complete guide to Machine Learning in Artificial Intelligence. Learn how machine learning is different from traditional programming and also learn about components, types, algorithm, applications and benefits of machine learning.

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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This is a detailed guide to Natural Language Processing in Artificial Intelligence.

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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This is a detailed guide to Search Algorithms in Artificial Intelligence. Understand the differences between uninformed & informed search strategies along with types, properties, advantages, etc.

In artificial intelligence, the search algorithm is used to assess problem space and various sequence of actions.

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This is a complete guide to Semantic Networks in Artificial Intelligence. Learn the components, architecture, advantages, disadvantages, and comparison between Semantic Nets and Frames.

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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This is a complete guide to different types of Artificial Intelligence. Learn about different types based on thier functionalities and more.

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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This is a detailed guide to uninformed search algorithm in Artificial Intelligence. Understand what is uninformed search algorithm along with its requirements, components,techniques,examples, etc.

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.