Andrew Ng’s Machine Learning at Stanford University

This listing points to Supervised Machine Learning: Regression and Classification on Coursera, the first course in the Machine Learning Specialization taught by Andrew Ng. The specialization was created by DeepLearning.AI and Stanford Online as the current version of Ng's well known Stanford machine learning course. This first course covers building and training supervised models for prediction and binary classification, including linear regression and logistic regression, implemented in Python with NumPy and a standard open source machine learning library. It is a beginner level course for learners who want a foundation in machine learning before moving to applied AI work. It runs across three modules and is estimated at three weeks at ten hours a week, with a flexible schedule. Learners work in Jupyter notebooks, complete nine graded assignments, and earn a shareable certificate that can be added to a LinkedIn profile. Skills covered include model evaluation, data preprocessing, feature engineering, model optimization and regression analysis. The course is taught in English with material available in 30 languages. Enrolling in the course also enrolls the learner in the full three course specialization, which is estimated at two months at ten hours a week. The course page offers free enrollment and auditing, but auditing does not include a certificate. Coursera states that its subscription costs $49 per month, and certificates are issued to learners who pay and complete the programming assignments, with certificate eligibility limited to 180 days before a course must be purchased again. Financial aid is available on application, and the course is also included in Coursera's wider subscription catalogue. Coursera itself was founded in 2012 by Andrew Ng and Daphne Koller.