One of the best lectures I have attended in the applied mathematics combining to numerical analysis in optimization and data science. Whole Specialization gives the essential tool set in Mathematics and Modeling in Data Science by case mathematical examples.

This was an excellent course. Covered some very technical aspects of both derivatives and linear algebra cleanly, and the quizzes made sense.

Excellent and thorough teaching

Finally something not basic

Thank you very much

very usefull

great course

Nice :)

IS GOOD

good

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Good course

This course felt lacking in concepts and quizzes material. I think this course should be redone so that the teaching material can be made better.

I felt like the the linear algebra in this course was out of place for this course. Should've put it in the linear algebra course.

Too simple and you can finish this course in only a few hours. Definitely not for having a thorough understanding of the topics.

Quick last course of the specialization. Great way to freshen up on integrals and partial derivatives, with a short intro of SVD and gradients. Would have liked a deeper intuitive explanation of the uses of SVD but it's okay for a quick overview.

Teaching is good, but should include more practice questions.

fast paced and minimal but very clear with good teaching

A decent course. Lots of mistakes and the last module seems rushed. Got a taste of concepts such as gradient descent, directional vectors, eigenvectors, etc., but didn't feel like the intuition behind these techniques was fleshed out very well.

Quizes are flawed, i.e. software doesn't recognize the right answers.