The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.Read more.
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The techniques and tools covered in Fundamentals of Machine Learning in Finance are most similar to the requirements found in Data Scientist data science job advertisements.
