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
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
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
Neural networks allow programs to recognize patterns and solve common problems in artificial intelligence, machine learning and deep learning.| www.ibm.com