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 2
Defining Data’s Role in AI
IN THIS CHAPTER
Seeing data as a universal resource
Obtaining and manipulating data
Looking for mistruths in data
Defining data-acquisitions limits
Considering data security
There is nothing unique about data. Every interesting application ever written for a computer has data associated with it. Data comes in many forms — some organized, some not. What has changed is the amount of data. Some people find it almost terrifying that access to so much data that details nearly every aspect of their lives is a reality — sometimes to a level that even the terrified people don’t realize. In addition, the use of advanced hardware and improvements in algorithms make data now the universal resource for AI.
To work with data, you must first obtain it. Today, data is collected manually, as done in the past, and also automatically, using new methods. However, it’s not a matter of just one or two data collection techniques: Collection methods take place on a ...
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