zahta/exercises-understanding-machine-learning
In this repository, you can find my solutions to some exercises of the book "Understanding Machine Learning From Theory to Algorithms" by Shai Shalev-Shwartz and Shai Ben-David.
This project provides detailed solutions to exercises from the textbook 'Understanding Machine Learning: From Theory to Algorithms.' It helps students and self-learners reinforce their grasp of machine learning concepts by showing practical applications of theoretical knowledge. You'll input specific problems from the book and get fully worked-out solutions, making it easier to check your work and learn from examples. This is ideal for anyone studying machine learning independently or as part of a course.
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Use this if you are studying the 'Understanding Machine Learning' textbook and need to verify your exercise solutions or see examples of how to solve complex problems.
Not ideal if you are looking for a machine learning library to build models or a resource for general machine learning tutorials outside of this specific textbook.
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Feb 23, 2022
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