Recent study focused on predicting short birth intervals (defined as less than 33 months) among reproductive-age women in ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...

Supervised machine learning is a branch of AI. This article covers the relevant concepts, importance in various fields, practical use in investing, and CAPTCHA applications.

View on Coursera Learning Outcomes Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses.

Kinds of machine learning Machine learning can solve non-numeric classification problems (e.g., “predict whether this applicant will default on his loan”) and numeric regression problems (e.g ...

The first course in the specialization is “Supervised Machine Learning: Regression and Classification,” which covers building machine learning models in Python using popular machine learning ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...