A Coursera course taught by Jeff Leek within the Johns Hopkins Data Science Specialization, covering practical machine learning workflows such as model building, prediction, and evaluation. It is one of the specialization's courses and builds on its earlier prerequisite courses.

Commenters point to it as a practical follow-on to Andrew Ng's course and the Data Science specialization, noting that it requires the prerequisite courses first.

On Reddit (4)

1. Recommendsmissinguserr/MachineLearning2015in “I'm a high school student very interested in machine learning, how can I get more involved?”

   1. Take (and pass) the course Statistical Learning at Stanford's online site. 2. Take (and pass) the course Machine Learning at Andrew Ng's coursera site. 3. Take (and pass) the course Practical Machine Learning at Jeff Leek's coursera site after passing every single one of the prerequisite…

2. RecommendsSecondOfThisNamer/MachineLearning2015in “Advice for getting into ML from a humanities PhD”

   I think for getting into ML, you should have at least understanding of statistics, stochastic, information theory, theoretical computer science (look for John Hopcroft), algorithm design and complexity theory (Robert Sedgewick, e.g. "An Introduction to the Analysis of Algorithms"). But I think you…

3. Recommendspokerdr/learnprogramming2014in “Interested in learning AI and Machine Learning. What are the best books?”▲ 7

   The texts mentioned by others here are excellent, but I would also suggest that you supplement with a few MOOCs: * https://www.coursera.org/course/ml * https://www.coursera.org/specialization/jhudatascience/1 * https://www.coursera.org/course/predmachlearn (one of the 9 courses from above)

4. Mentionsdatasciguy-aaayr/MachineLearning2016in “Beginner learning path to Machine Learning”▲ 3

   In my opinion we can learn from MOOCs much more quickly and enjoyably than just reading textbooks. Professor Andrew Ng's coursera course is a must-have. You will definitely need to understand matrix algebra and multivariate calculus is definitely important because the concept of partial derivative…

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