AI Simplified: Machine Learning problem types
With so many questions to answer, what are some of the most common machine learning problem types that come up while building out AI systems? Jake Shaver, Special Projects Manager at DataRobot, walks us through four problem types in this installment of AI Simplified. Rashtech - Web Designing and App Development 1. Classification Classification is a systematic grouping of observations into categories, such as when biologists categorize plants, animals, and other lifeforms into different taxonomies. It is one of the primary uses of data science and machine learning. The most important use cases of Natural Language Processing are: The goal of this task is to predict a class (label) of a document, or rank documents within in a list based on their relevance. It could be used in spam filtering (predicting whether an e-mail is spam or not) or content classification (selecting articles from the web about what is happening to your competitors). 2. Why is Classification Important? There ar...