Artificial Intelligence All-in-One For Dummies
by Chris Minnick, John Paul Mueller, Luca Massaron, Stephanie Diamond, Pam Baker, Daniel Stanton, Shiv Singh, Paul Mladjenovic, Sheryl Lindsell-Roberts, Jeffrey Allan
Chapter 3
Considering the Use of Algorithms
IN THIS CHAPTER
Examining the role of algorithms in AI
Winning games with state-space search and min-max
Analyzing how expert systems work
Recognizing that machine learning and deep learning are part of AI
Data is a game changer in AI. Advances in AI hint that, for certain problems, choosing the right amount of data is more important than choosing the right algorithm. However, no matter how much data you have, you still need an algorithm to make it useful. In addition, you must perform data analysis (a series of definable steps) to make data work correctly with the chosen algorithms — no shortcuts allowed. Even though AI is intelligent automation, sometimes automation must take a back seat to analysis. You won’t now find machines that know what’s appropriate and can completely cut out any human intervention, but self-learning machines, also known as self-improving or autonomous learning systems, are already a significant area of research and development in the field of AI.
In this chapter, you explore the relationship between algorithms ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access