Vector embeddings are numerical representations of data points, such as words or images, as an array of numbers that ML models can process.| www.ibm.com
A machine learning algorithm is a set of rules or processes used by an AI system to conduct tasks.| 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
Knowledge distillation is a machine learning technique used to transfer the learning of a large pre-trained “teacher model” to a smaller “student model.”| 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
Learn how to build an AI agent with our comprehensive step-by-step guide. Follow detailed instructions to create your intelligent system| Markovate
Predictive analytics predicts future outcomes by using historical data combined with statistical modeling, data mining techniques and machine learning.| www.ibm.com