Linear regression is an analytics procedure that can generate predictions by using an easily interpreted mathematical formula.| www.ibm.com
Listen to the latest episode of Mixture of Experts–an IBM podcast. Your weekly AI news podcast! #MoEPodcast #MixtureOfExperts #IBM| www.ibm.com
Generative AI is artificial intelligence (AI) that can create original content in response to a user’s prompt or request.| www.ibm.com
Neural networks allow programs to recognize patterns and solve common problems in artificial intelligence, machine learning and deep learning.| www.ibm.com
In reinforcement learning, an agent learns to make decisions by interacting with an environment. It is used in robotics and other decision-making settings.| www.ibm.com
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Artificial intelligence (AI) is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision-making, creativity and autonomy.| www.ibm.com
Natural language processing (NLP) is a subfield of artificial intelligence (AI) that uses machine learning to help computers communicate with human language.| www.ibm.com
IBM data and analytics consulting services help you unleash the full potential of your data, so you can focus on launching your organization into the future with AI or agentic workforces.| www.ibm.com
Unsupervised learning, also known as unsupervised machine learning, uses machine learning (ML) algorithms to analyze and cluster unlabeled data sets.| www.ibm.com
Logistic regression estimates the probability of an event occurring, such as voted or didn’t vote, based on a given data set of independent variables.| www.ibm.com
Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.| www.ibm.com
Machine learning (ML) is a branch of AI and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn.| www.ibm.com