# Bayesian Optimization with Python

3.7
7 個評分

Define objective function of Bayesian optimization

Implement Bayesian Optimization

Use Bayesian Optimization and GPyOpt in your projects

2 hours

In this guided project you will get familiar with the basics of Bayesian optimization and Implement Bayesian optimization algorithm process and use it in a machine learning project, We will consider function optimization task and also Hyperparameters tuning using Bayesian optimization and GPyOpt library. Bayesian optimization is a nice topic, whether you want to do a high dimensional or a computationally expensive optimization it's efficient. By the end of this project you will be able to understand and start applying Bayesian optimization in your machine learning projects.

### 您要培養的技能

Bayesian OptimizationPython ProgrammingMachine LearningGpyOpt

## 分步進行學習

1. Define Objective function - One Dimensional Case

2. Optimize 1-D Objective function using GPyopt

3. Define Objective function - Two Dimensional Case

4. Optimize 2-D Objective function using GPyopt

5. Using Bayesian Optimization in Machine Learning