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Machine Learning and Deep Learning

Machine learning (ML) is an umbrella term for different AI systems that can learn from past data to process new data and make predictions, classifications, and decisions.

Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It focuses on using algorithms inspired by the structure and function of the brain, called artificial neural networks, to learn from large amounts of data.

What is a neural network? - IBM

Machine Learning Basics - AWS Foundations

Machine Learning and Deep Learning - IBM

Bias in Machine Learning - Google Developer Support

Fairness and reducing bias - Google

No-code Machine Learning and Generative AI - AWS

Introduction to machine learning operations (MLOps) - Microsoft

Machine Learning Terminology and Process - AWS

End-to-end machine learning operations (MLOps) with Azure Machine Learning

Introduction to Machine Learning Problem Framing - Google Developers

Decision Forests - Google Developers

Introduction to Clustering - Google Developers

Recommended Systems - Google Developers

Introduction to Amazon SageMaker - AWS

No-code Machine Learning and Generative AI on AWS