Ads
related to: ai and machine learning techniquessap.com has been visited by 100K+ users in the past month
- SAP AI in supply chain
Explore how AI can boost
your supply chain
- AI-powered procurement
SAP Business AI built into
your procurement processes.
- Get ready for AI in HR
SAP Business AI
in human resources.
- Explore AI solutions
SAP Business AI
in marketing and e-commerce.
- SAP AI in supply chain
cdw.com has been visited by 100K+ users in the past month
jenni.ai has been visited by 10K+ users in the past month
Search results
Results from the WOW.Com Content Network
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [ 1 ]
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
v. t. e. In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains. [ 1 ][ 2 ] An ANN consists of connected units or nodes called artificial neurons, which loosely model the neurons in the brain.
Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take actions in a dynamic environment in order to maximize the cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and ...
e. Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source), to label new data points with the desired outputs. The human user must possess knowledge/expertise in the problem domain, including the ability to consult/research authoritative sources ...
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence. [1][2] The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [3] In a GAN, two neural networks contest with each other in the form of a zero-sum game ...
Ads
related to: ai and machine learning techniquessap.com has been visited by 100K+ users in the past month
cdw.com has been visited by 100K+ users in the past month
jenni.ai has been visited by 10K+ users in the past month