Artificial Intelligence for Business, 2nd Edition

11

Words of Advice

In this chapter:

• Embracing and encouraging an exploratory mindset

• Recognizing the importance of keeping your training and test data separate

• Managing expectations

• Knowing your tools—algorithms

Machine learning (ML) poses plenty of technical and organizational challenges. You need to ask the right questions, gather quality data, pick the right algorithm(s), adjust your algorithm(s), and often find the meaning in whatever outcome the machine delivers.

In this chapter, I offer a few tips that will help you and your organization overcome these challenges and start your ML program on the right path.

Start Asking Questions

Organizations ...