Optimization for Machine Learning Crash Course
Optimization for Machine Learning Crash Course.
Find function optima with Python in 7 days.
All machine learning models involve optimization. As a practitioner, we optimize for the most suitable hyperparameters or the subset of features. Decision tree algorithm optimize for the split. Neural network optimize for the weight. Most likely, we use computational algorithms to optimize.
There are many ways to optimize numerically. SciPy has a number of functions handy for this. We can also try to implement the optimization algorithms on our own.
In this crash course, you will discover how you can get started and confidently run algorithms to optimize a function with Python in seven days.
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