With the exponentially growing amounts of data the world has been observing, especially in the last decade, the number of related technologies and terms also started growing at a faster rate. Suddenly, people in industry, media, and academia started talking (sometimes maybe too much) about big data, data mining, analytics, machine learning, data science, data engineering, statistical learning, artificial intelligence, and many other related terms, and of course one of those terms is predictive analytics, the subject of this book.
There is still a lot of confusion about these terms and exactly what they mean, because they are relatively new. As there is some overlap between them, for our purposes, instead of attempting ...