Deep Learning with R, Second Edition

5 Fundamentals of machine learning

This chapter covers

• Understanding the tension between generalization and optimization, the fundamental issue in machine learning
• Evaluation methods for machine learning models
• Best practices to improve model fitting
• Best practices to achieve better generalization

After the three practical examples in chapter 4, you should be starting to feel familiar with how to approach classification and regression problems using neural networks, and you’ve witnessed the central problem of machine learning: overfitting. This chapter will formalize some of your new intuition about machine learning into a solid conceptual framework, highlighting the importance of accurate model evaluation and the balance between training ...