Challenge: Non-Convex Optimization
Understand how to approach non-convex optimization challenges by applying gradient descent methods. Learn to minimize complex cost functions with multiple variables, gaining skills to handle real-world optimization problems in data science and machine learning.
We'll cover the following...
We'll cover the following...
Problem statement
Consider a scenario where a company wants to optimize the production of a certain product. The cost of production could depend on multiple factors, such as the amount of raw materials used (