But AI is not only about large data sets, and research in “small data” approaches has grown extensively over the past decade—with so-called transfer learning as an especially promising example.

In the example, say grades F, D, C, B and A corresponded to ranges 0 to 59, 60 to 69, 70 to 79, 80 to 89 and 90 to 100, respectively. In this case, you would enter 60, 70, 80, 90 and 100 in cells ...

There are three quartile values—a lower quartile, median, and upper quartile—which divide the data set into four ranges, each containing 25% of the data points: ...

Data distillation, which works for designing soft-labeled examples for neural networks, also has a major disadvantage: it requires you to start with a giant data set in order to shrink it down to ...

Quantitative Example: A data analyst working in AI might examine big datasets to create prediction models that pinpoint client attrition rates. ... “Students who blend scientific and mathematical ...

All of this can be represented in data, which is essentially simple collections of numbers or words. For example, temperature is a number, and a weather forecast might be “rainy” or ...

Example 3: Consider a data sample consisting of one integer. That integer must be odd. Because there are constraints on the single item within the data set, the degree of freedom is zero.

Data can unlock a wealth of insights into your business performance and customers. However, it won't provide the answers you need if you don't ask the right questions. This article focuses on a ...