5/19/2020
24 Artificial Intelligence Terms You Need to Know - venkat vajradhar - Medium
24 Arti cial Intelligence Terms You Need to Know venkat vajradhar Oct 21, 2019 ¡ 3 min read
With Artificial intelligence services becoming less than a vague marketing buzzword and a strict ideology, it is becoming increasingly challenging to understand all the AI terms out there. So to eliminate the new AI zone.
A Algorithms: a set of rules or instructions given to help AI, neural network or other machines learn on their own; Classification, clustering, recommendation, and regression are the four most popular types. Artificial intelligence: the ability of decision-making and decision making machines to simulate human intelligence and behavior. Artificial Neural Network (ANN): A learning paradigm has been created to act as a human brain that solves tasks that are difficult for traditional computer systems to solve. Autonomic Computing: The ability of the system for adaptive self-management of its own resources for high-level computing functions without user input. https://medium.com/@pvvajradhar/24-artificial-intelligence-terms-you-need-to-know-a7807b207142
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5/19/2020
24 Artificial Intelligence Terms You Need to Know - venkat vajradhar - Medium
C Chatbots: A chat robot (abbreviated chatbots) designed to simulate a conversation with human users by communicating via text chats, voice commands, or both. These are the most commonly used interface for computer programs that have AI capabilities. Classification: Classification algorithms allow machines to assign a category to a data point based on training data. Cluster Analysis: A type of unsupervised practice used for exploratory data analysis to find hidden patterns or group them into data; Groups are made up of a measure of similarity defined by metrics such as Euclidean or likelihood distance.
To Know More: How Artificial Intelligence is Driving Mobile App Personalization? Clustering: Clustering algorithms allow machines to group clusters of data points or objects with similar properties. Cognitive Computing: A computerized model that simulates the way the human brain thinks. Self-learning involves data mining, natural language processing, and pattern recognition. Convolutional neural networks (CNN): A kind of neural network that detects and understands images. D Data Mining: Examining data sets and finding mine samples from those data that are more useful. Data Science: An interdisciplinary field that combines scientific methods, systems, and processes from statistics, information science, and computer science to provide insight into the phenomenon through structured or unstructured data. Decision Tree: A tree and branch-based model used to map decisions and their consequences, similar to a flow chart. Deep learning: the ability of machines to automatically simulate human thinking through artificial neural networks with information cascading layers.
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5/19/2020
24 Artificial Intelligence Terms You Need to Know - venkat vajradhar - Medium
F Fluent: A type of situation that can change over time. G Game AI: A pattern of AI-specific to gaming that uses an algorithm to compensate randomness. It is the human-like intelligence in non-player characters and the computational behavior used to generate the player’s reaction-based actions. Genetic algorithm: An evolutionary algorithm based upon these principles of genetics and natural selection, used to find optimal or near-optimal solutions to difficult problems that would otherwise take decades to solve. H Heuristic Search Methods: Support that reduces the search for the right solutions to a problem by eliminating the wrong choices. K Knowledge engineering: focuses on building knowledge-based systems, including all scientific, technical, and social aspects of it. L Logic Programming: A type of programming example where computation is performed based on a knowledge repository of facts and rules; LISP and Prolog are two logic programming languages used for AI programming. M Machine Intelligence: An umbrella term that includes machine learning, deep learning, and classical learning algorithms.
To Know More: AI APPLICATIONS IN VARIOUS FIELDS Machine learning: One aspect of AI that focuses on algorithms, which allows machines to learn and change when exposed to new data without being programmed. Machine Awareness: The ability of a system to receive and interpret data from the external world in the same way that humans use our senses. This is usually done with https://medium.com/@pvvajradhar/24-artificial-intelligence-terms-you-need-to-know-a7807b207142
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5/19/2020
24 Artificial Intelligence Terms You Need to Know - venkat vajradhar - Medium
the attached hardware, although the software is also usable. N Natural Language Processing: A program must understand its ability to detect human communication.
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https://medium.com/@pvvajradhar/24-artificial-intelligence-terms-you-need-to-know-a7807b207142
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