Machine learning is the subset of AI focused on algorithms that analyze and “learn” the patterns of training data in order to make accurate inferences about new data.

This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the …

Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to …

In this comprehensive guide, you will find a collection of machine learning-related content such as educational explainers, hands-on tutorials, podcast episodes and much more.

Learn how to apply machine learning techniques using Python in this course from IBM. Build and evaluate models with libraries like scikit-learn and explore key ML concepts.

5 days ago · The platform works with open table formats like Apache Iceberg, Delta Lake and Hudi, and open file formats like Parquet, ORC, and CSV, using standard APIs that integrate …

This credential earner is able to showcase working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. …

The term machine learning was coined in 1959 by Arthur Samuel, an IBM employee and pioneer in the field of computer gaming and artificial intelligence. [5][6] The synonym self-teaching …

6 days ago · Jeff Crume traces the evolution of artificial intelligence from early programming to machine learning, generative AI, and agentic AI.

What is machine learning? Machine learning (ML) is a subset of artificial intelligence (AI), that is all about getting an AI to accomplish tasks without being given specific instructions.