Machine learning is a field within data science that focuses on building methods that utilize data to improve performance or inform predictions. It is a method of data analysis that automates analytical model building and is a branch of artificial intelligence based on the idea that machines can learn from data, identify patterns, and make decisions with minimal human intervention. Machine learning algorithms are typically created using frameworks that accelerate solution development, such as TensorFlow and PyTorch.

Data science, on the other hand, is a broader term that encompasses data analytics, data mining, machine learning, and several other related disciplines. It is a field that studies data and how to extract meaning from it. Data scientists extract meaningful insights from various data sources and are expected to forecast the future based on past patterns.

In summary, machine learning is a subset of data science that focuses on building methods that utilize data to improve performance or inform predictions, while data science is a broader term that encompasses machine learning and other related disciplines.