Optimizing Machine Learning Performance
This course is part of Machine Learning: Algorithms in the Real World Specialization
Instructor: Anna Koop
Skills you'll gain
There are 4 modules in this course
To be successful, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode). This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii).
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