Dataconomy

AUGUST 31, 2023

Examples of binary classification include spam vs. not spam emails, fraudulent vs. legitimate financial transactions, and disease vs. not disease medical diagnoses. This type of problem is more challenging because the model needs to learn more complex relationships between the input features and the multiple classes.

Machine Learning 136

Machine Learning Machine Learning Supervised Learning Algorithm 136

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Supervised machine learning Supervised machine learning is a type of machine learning where the model is trained on a labeled dataset (i.e.,

Machine Learning 97

Machine Learning Machine Learning Supervised Learning Clustering 97

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy.

AI 75

AI AI Machine Learning Machine Learning 75