From Classic Computer Science Problems in Java by David Kopec
From Succeeding with AI by Veljko Krunic
This article discusses how to get practical business results from AI and how this book will help you learn how to do it.
From Interpretable AI by Ajay Thampi
From AI as a Service by Peter Elger and Eóin Shanaghy
This article discusses gathering data for real-world AI projects and platforms.
| From AI as a Service by Peter Elger and Eóin Shanaghy
This article discusses how to add AI to existing platforms. |
Why speed read this, you ask? Learn how AI can plow through an inbox at superhuman speeds. Let an AI summarize and help you focus. That’s what I need. [ed. This is my first joint blog post with Chris Mattmann,… Continue Reading →
From Grokking Artificial Intelligence Algorithms by Rishal Hurbans
What you’ll learn in this article:
§ The lifecycle of a genetic algorithm.
§ Designing and developing a genetic algorithm to solve problems.
§ The parameters for configuring a genetic algorithm lifecycle based on different scenarios, problems, and data sets.
From AI-Powered Search by Trey Grainger
From Succeeding with AI by Veljko Krunic
When running an AI team or project there are important pitfalls to be avoided. This article discusses some of the most common ones.
From Succeeding with AI by Veljko Krunic
Focused human involvement and attention makes or breaks an AI project. This article discusses the first questions you should ask in the context of every AI project, as well as the most important ideas to keep in mind during any AI project.