Predictive Analytics Guide

Need to know more about machine learning / predictive analytics / data science?

What is Predictive Analytics?

 

Predictive analytics is information 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 customer responses, conversions and clicks, and to decrease churn. Each customer’s predictive score informs actions to be taken with that customer — data science just doesn’t get more actionable than that.

What’s the best way to learn about predictive analytics? There’s no better way to learn than from concrete case studies such as those presented by Fortune 500 analytics competitors and other top practitioners at the next Machine Learning Week. In the meanwhile, start by taking a look through the resources listed below on this page.

 

Book

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. Read this rich, fascinating — surprisingly accessible — introduction by former Columbia University professor and Machine Learning Week / Predictive Analytics World founder Eric Siegel, which reveals the power and perils of predictive analytics, showing how predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime-fighting and boosts sales. More info, excerpts, reviews, and press.

 

Online Course from the Founder of PAW

Take the acclaimed course Machine Learning Leadership and Practice – End-to-End. This course will empower you to lead and launch machine learning. Accessible to business-level learners and yet vital to techies as well, it covers both the state-of-the-art techniques and the business-side leadership best practices. From Eric Siegel, Founder of Predictive Analytics World and author of Predictive Analytics.

 

Tutorial Articles

The following short, published articles, written by the conference chair, are a great place to get started.

 

Advanced Topics

  • Uplift Modeling: Predictive Analytics Can’t Optimize Marketing Decisions Without It
    To drive business decisions for maximal impact, analytical models must predict the marketing influence of each decision on customer buying behavior. Uplift modeling provides the means to do this, improving upon conventional response and churn models that introduce significant risk by optimizing for the wrong thing. This shift is fundamental to empirically driven decision making. This convention-altering white paper, reveals the why and how, and delivers case study results that multiply the ROI of predictive analytics by factors up to 11.
  • Free book chapter: The Seven Practice Areas of Text Analytics
    Presently, text mining is in a loosely organized set of competing technologies with no clear dominance among them. This book chapter organizes text analytics methods as seven complementary practice areas, showing how to select amongst them for your objectives.

 

Machine Learning Week Conference

Machine Learning Week is the leading event for machine learning consumers, managers and commercial practitioners. This conference delivers case studies, expertise and resources over a range of business applications of machine learning. For more on this conference’s scope, see About Machine Learning Week.

Data Driven Government advances the deployment of analytics and data science within Federal, State, and Local government to reduce fraud, waste, and abuse, automate manual processes, and drive smarter decisions by extracting actionable insights from the vast quantities of data within government agencies. For more info see Data Driven Government.

 

Deep Learning World Conference

Deep Learning World is the premier conference covering the commercial deployment of deep learning. The event’s mission is to foster breakthroughs in the value-driven operationalization of established deep learning methods.

 

Machine Learning News

Machine Learning Times. The machine learning professionals’ premier resource, delivering timely, relevant industry-leading content: articles, videos, events, white papers, and community. The only full-scale content portal devoted exclusively to machine learning and its commercial deployment, the Machine Learning Times has become a standard must-read. Subscribe here.

www.KDnuggets.com: A comprehensive online portal and newsletter for data mining, including predictive analytics.

Subscribe to Machine Learning Week event notifications and announcements.

 

Predictive Analytics Informative Interview

View succinct responses from Machine Learning Week / Predictive Analytics World founder Eric Siegel that provide an overview of predictive analytics. Answers to the following questions are provided:

 

FAQ: Machine Learning Week

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