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Mathematics for Machine Learning: Linear Algebra — Course Review
This course was quite enjoyable, from week one to week five I was enthralled. Though I must say that this course had its share of issues, such as the instructor getting his math wrong and the autograder failing students automatically. Looking past the negatives, there was much to enjoy with this course.
For an introduction to Linear Algebra and its applications to Data Science and Machine Learning, it does a wonderful job. It introduces basic material and expands on it, rather quickly might I add. The course gives quizzes to ensure the material is understood and coding assignments to expand your knowledge on the topic. They give plenty of explanation for every assignment, which makes the assignments simple, yet enjoyable. The coding, the math, is never too difficult, but it definitely pushes you to think of a more advanced solution. To complete the coding assignments, a firm understanding of the material is necessary. Even the final coding assignment, which is the implementation of Google’s Pagerank Algorithm, becomes manageable with the guidance provided by the instructors.
Finishing this course, I realize I have learned plenty, even though I have already taken Linear Algebra in college. I learned of the various applications and built an interest to study further into this topic. Perhaps one day I will begin…
