IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Pickl AI

APRIL 13, 2025

Pattern Recognition and Prediction Classification algorithms excel at recognizing patterns in data, which is crucial for: Predictive Analytics : By learning from historical data, classification models can predict future outcomes. These models can detect subtle patterns that might be missed by human radiologists.

Machine Learning 52

Machine Learning Machine Learning Decision Trees K-nearest Neighbors 52

Towards AI

MAY 3, 2023

Solving Machine Learning Tasks with MLCoPilot: Harnessing Human Expertise for Success Many of us have made use of large language models (LLMs) like ChatGPT to generate not only text and images but also code, including machine learning code. Vector databases can store them and are designed for search and data mining.

ML 96

ML ML Machine Learning Machine Learning 96