3 Books on Optimization for Machine Learning
Optimization is a field of mathematics concerned with finding a good or best solution among many candidates.
It is an important foundational topic required in machine learning as most machine learning algorithms are fit on historical data using an optimization algorithm. Additionally, broader problems, such as model selection and hyperparameter tuning, can also be framed as an optimization problem.
Although having some background in optimization is critical for machine learning practitioners, it can be a daunting topic given that it is often described using highly mathematical language.
In this post, you will discover top books on optimization that will be helpful to machine learning practitioners.
Let’s get started.
