Choosing and Building Machine Learning Applications

This chapter explores the considerations in selecting a sample application for demonstrating machine learning concepts, specifically highlighting predictive text functionality. The discussion covers the essential stages of machine learning product development, from understanding project goals to deploying solutions, while addressing common pitfalls. Emphasizing the significance of user feedback and iterative processes, it advocates for an adaptable approach to building effective machine learning models and pipelines.