Artificial intelligence projects rely on three factors:
- Subject Matter Experts (SMEs). This implies having a practical view of how solutions can be used, not just developed. Find real-life examples around you to extend the case studies presented in the book.
- Applied mathematics and algorithms. Do not skip the mathematical equations if you have the energy to study them. AI relies heavily on mathematics. There are plenty of excellent websites that explain the mathematics used in the book.
- Development and production.
An artificial intelligence solution can be directly used on a cloud platform machine learning site (Google, Amazon, IBM, Microsoft, and others) online or with APIs. In the book, Amazon, IBM, and Google are described. Try to create an account of your own to explore cloud platforms.
Development still remains critical for artificial intelligence projects. Even with a cloud platform, scripts and services are necessary. Also, sometimes, writing an algorithm is mandatory because the ready-to-use online algorithms are insufficient for a given problem. Explore the programs delivered with the book. They are open source and free.