Data Mining 95-791 Spring 2013 Lecture #8 Predictive analytics: Regression Artur Dubrawski awd@cs.cmu.edu This unit • Good-old correlation scores revisited • Locally weighted regression – As an approximator of non-linear functions – As a framework for active/purposive acquisition of data 95-791 Data Mining Lecture #8 Slide 2 Copyright © 2000-2013 Artur Dubrawski Correlational scores of association between attributes of data • • • • Linear Rank Quadratic …. Would not it be
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Assignment 4: Crystal Ball‚ Clairvoyant‚ Fortune Telling . . . Can Predictive Analytics Deliver the Future? 1. Many predictive analytic models are based on neural network technologies. What is the role of neural networks in predictive analytics? How can neural networks help predict the likelihood of future events. In answering these questions‚ specifically reference Blue Cross Blue Shield of Tennessee? Predictive analytics can be helped with neural networks when there is a very large quantity
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Next Blog» Create Blog Sign In Business Analytics and Advanced Analytics Companies in India This blog is dedicated to budding and growing analytics professionals in India Tuesday‚ November 24‚ 2009 Top Analytics companies in India Top Analytics Companies in India (Using SAS/SPSS):In Analytics what we try is make clusters for the people to deccide on their own‚ These clusters ‚on analytic companies will help you a lot Branded Analytics Cluster 1( These companies are struggling hard to
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Best Ways to Analyze Data in Order to Improve Decision-Making Descriptive Analysis: Defined as quantitatively describing the main features of a collection of information. Descriptive analysis are distinguished from inferential analysis (or inductive analysis)‚ in that descriptive analysis aim to summarize a sample‚ rather than use the data to learn about the population that the sample of data is thought to represent. Two types of descriptive measures are: 1. Measures of central tendency: used
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2.1.2 Predictive Analytics Consumer-goods companies have traditionally used historical performance‚ channel demands‚ and gut feel to determine price‚ promotions‚ assortment‚ and replenishment. Now companies should start to turn to predictive analytics to refine this decision making. One CPG company mines a massive database of historical point-of-sale and promotions data‚ integrated with real-time data from social media and weather forecasts‚ to predict daily demand by store and optimize assortments
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How to Compete on Analytics Thomas Davenport describes the prerequisites and the five stages of analytic competitiveness By Alison Bolen Thomas Davenport’s article "Competing on Analytics" was the best‐selling Harvard Business Review reprint in 2006. To write it‚ Davenport‚The President’s Distinguished Professor in Management and Information Technology at Babson College‚ studied the characteristics of more than 50 leading organizations that have made a commitment to quantitative‚ fact‐based analysis
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Google Analytics Introduction Google launched its web based analytics service – Google Analytics (GA)‚ officially in November‚ 2005. Formerly known as Urchin from Google‚ it is a complete enhanced package ideal for businesses and online marketing. Businesses have been able to benefit from this tool immensely as it enables them to have complete control over the online campaigns‚ revenue generation‚ performance data and above all‚ methods to optimize their sales. This powerful tool enhances
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benefits of data mining to the businesses when employing 1. Predictive analytics to understand the behavior of customers Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model‚ which has‚ in turn been trained over your data‚ learning from the experience of your organization. Predictive analytics optimizes marketing campaigns and website behavior to increase
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Q1: Describe how you trained and evaluated your models. Discuss how you were deciding what to try next. The task in this assignment was to correctly classify each instance’s genre of music. Taking this in mind I decided the best way to evaluate my models was to use the correctly classified instances percentage‚ as the way of judging which model was better than the others. I started by training all the models we had covered during the lectures then used the Multilayer Perception model that I had
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CET11 Mathematics Question Bank – Straight Lines‚ Pair of Lines & Circles A straight line through the point A 3‚ 4 is such that its intercept between the axes is bisected at A . It’s equation is 1. (a) 4 x 3 y 24 Ans: a (b) 3x 4 y 25 (c) x y 7 (d) 3x 4 y 7 0 Sol: By formula required equation is given by x y 2 4 x 3 y 24 3 4 2. The equation of the line which is the perpendicular bisector of the line joining the points 3‚ 5 and 9‚3 is (a)
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