Supervised learning is a machine learning technique that uses labeled data sets to train artificial intelligence algorithms models to identify the underlying patterns and relationships between input features and outputs. The goal of the learning process is to create a model that can predict correct outputs on new real-world data.| www.ibm.com
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
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
Have lots of leads but don’t know how to prioritize them? Learn how to use lead scoring to figure out where they stand and who’s most likely to close.| blog.hubspot.com
Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence.| www.ibm.com
Predictive analytics predicts future outcomes by using historical data combined with statistical modeling, data mining techniques and machine learning.| www.ibm.com