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 ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

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 ...

Machine learning is changing everyday activities through improvements in functions such as voice recognition, object detection, and image perception. The spheres of medicine, transportation, finance, ...

I was pleased to receive a review copy of this new title from Cambridge University Press, “A Hands-on Introduction to Machine Learning.” The hardcover book is very attractive, well-produced and solid!

Machine learning may sound relatively old-fashioned in the age of AI, but it remains a valuable and oft-used skill. Machine learning is the use of algorithms in computer systems to “learn” from data, ...

Machine learning allows a computer to teach itself how to solve problems by analyzing large sets of data. Human programmers don't teach machine learning systems how to solve problems, nor do they ...