Showing results for "Data Mining" in Science & Engineering

In our age of accelerating progress in so many fields, it’s easy to lose sight of the underlying innovation that makes the data analytics revolution possible. These 24 lectures introduce you to the key concepts, methods, and accomplishments of this versatile approach to problem solving. You need no expertise in mathematics to follow this exciting story. Tim Chartier, professor of mathematics and computer science, explains the basic computational techniques used in data analytics, but his focus is on how these ideas are applied and the amazing results they achieve.

When a state representative named Thom Tillis ran for US Senate in North Carolina in 2014, his campaign followed the now-standard practice of sending voters online and direct-mail advertisements referring to particular issues. Which issues mattered to which people, from ISIS to the Affordable Care Act, could be gleaned from the voters’ memberships and donations or inferred from demographic information and databases of everything from their purchases to their Web history.

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them.