Machine Learning with TensorFlow, Second Edition

4 Using regression for call-center volume prediction

This chapter covers

• Applying linear regression to real-world data
• Cleaning data to fit curves and models you have not seen before
• Using Gaussian distributions and predicting points along them
• Evaluating how well your linear regression predicts the expected values

Armed with the power of regression-based prediction and TensorFlow, you can get started working on real-world problems involving more of the steps in the machine-learning process, such as data cleaning, fitting models to unseen data, and identifying models that aren’t necessarily an easy-to-spot best-fit line or a polynomial curve. In chapter 3, I showed you how to use regression when you control all steps of the machine-learning ...