Machine learning has been inducted into various domains for automation and insights. It has helped businesses grow by aiding decision-making based on data. Organizations create and deploy machine ...

Introduction to Machine Learning: Supervised Learning offers a clear, practical introduction to how machines learn from labeled data to make predictions and decisions. You’ll build a strong foundation ...

Work you complete in the non-credit experience will transfer to the for-credit experience when you upgrade and pay tuition. See How It Works for details. A previous version of Machine Learning: Theory ...

This graduate-level, introductory course provides an overview of the theoretical and practical foundations that inform learning, design, and technology. Course content and activities are designed to ...

Strong foundations in statistics and probability (at the undergraduate level), multivariate calculus and linear algebra, and good knowledge of a computer programming (C/C++, Python, etc). Interest in ...