使用模型构建器 Automl 进行实用的人工智能和机器学习
Practical Ai And Machine Learning With Model Builder Automl
- 1 - Introduction Prerequisites and Learning Outcomes
- 2 - Introducing Model Builder and the Approach for this Course
- 3 - Download Install and Configure Visual Studio
- 4 - Launch Visual Studio and Start a Coding Project
- 5 - Introducing Model Builder and the Machine Learning Process
- 6 - Model Builder Tasks
- 7 - Preparing Data for Machine Learning
- 8 - Machine Learning Training a Model
- 9 - Evaluating the performance of a trained model
- 10 - Machine Learning in Action Part 1 Getting training data
- 11 - Machine Learning in Action Part 2 Preparing the training data
- 12 - Demo Part 3
- 13 - Demo Part 4
- 14 - Understand and Interpret Model Performance
- 15 - Consuming a Model and Checking for Overfitting