Supervised machine learning problems are further divided into classification (predicting non-numeric answers, such as the probability of a missed mortgage payment) and regression (predicting ...

And while machine learning is a subset of AI, it takes the concept of smart technology away from rigid algorithms toward more agility and, in a way, a resemblance of a human brain in how it "thinks." ...

Support vector machine: This is a classification algorithm that uses a bit of regression to find the best lines or planes to separate two or more classes.

Econometrics, statistics, and machine learning answer different sorts of questions. ML excels at finding patterns in data and using these patterns for classification and prediction.

But teaching a machine the difference between a spam email and a wanted solicitation, for example, can require a great deal of time and input. Of course, classification in machine learning can go ...

To illustrate the interaction between feature selection and linear regression, I scraped 500 rows of game logs from stats.nba.com, placed them in a .csv file on one of our test Hadoop clusters ...