Word of the Day: logistic regression

Word of the Day Daily updates on the latest technology terms |October 4, 2017

logistic regression Logistic regression is a statistical analysis method used to predict a data value based on prior observations of a data set. A logistic regression model predicts a dependent data variable by analyzing the relationship between one or more existing independent variables. For example, a logistic regression could be used to predict whether a political candidate will win or lose an election or whether a high school student will be admitted to a particular college. The resulting analytical model can take into consideration multiple input criteria -- in the case of college acceptance, things such as the student's grade point average, SAT score and number of extracurricular activities. Based on historical data about earlier outcomes involving the same input criteria, it then scores new cases on their probability of falling into a particular outcome category. Logistic regression has become an important tool in the discipline of machine learning. The approach allows an algorithm being used in a machine learning application to classify incoming data based on historical data. As more relevant data comes in, the algorithm should get better at predicting classifications within data sets. For that reason, logistic regression has become particularly popular in online advertising, enabling marketers to predict as a yes or no percentage the likelihood of specific website users who will click on particular advertisements. Logistic regression can also play a role in data preparation activities by allowing data sets to be put into specifically predefined buckets during the extract, transform and load process in order to stage the information for analysis. Quote of the Day "Machine learning -- Amazon Machine Learning, in particular -- is a step up from traditional analytics because it focuses on predictive and potentially prescriptive results." - Alan R. Earls   Trending Terms historical data machine learning data preparation Amazon Machine Learning predictive analytics   Learning Center Machine learning defies odds to aid asset management across industries Machine learning's promise of improving asset management is what keeps the spark going, says Saviant Consulting's Yatish Patil. Amazon Machine Learning platform packs punch but lacks tooling The Amazon Machine Learning platform has several noteworthy limitations involving data storage, model tuning and detailed functionality Machine learning platforms comparison: Amazon, Azure, Google, IBM There are many machine learning platforms today, but choosing the right one is tough. Use this chart to learn about your options. Amazon Lex flexes Alexa's machine learning muscles Amazon Lex, part of Amazon AI, removes restrictions on Alexa skills and enables developers to build apps that can understand verbal input from end users. Machine learning use cases add up in AWS' favor Amazon Machine Learning use cases are as diverse as AWS' pool of customers. Competition exists from IBM and Microsoft, but Amazon's product has a foothold in the market. Quiz Yourself A ________ tree is a graph that uses a branching method to illustrate every possible outcome of a decision. a. decision b. predictive Answer   Stay In Touch For feedback about any of our definitions or to suggest a new definition, please contact me at: mrouse@techtarget.com   Visit the Word of the Day Archives and catch up on what you've missed!   FOLLOW US About This E-Newsletter This e-newsletter is published by the TechTarget network. To unsubscribe from Whatis.com, click here. Please note, this will not affect any other subscriptions you have signed up for. TechTarget, Whatis, 275 Grove Street, Newton, MA 02466. Contact: webmaster@techtarget.com Copyright 2016 TechTarget. All rights reserved.