Predictive Analytics for Dummies. Questo articolo non è disponibile.Predictive Analytics for Dummies

Predictive Analytics For Dummies, 2e will help the you understand the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. You will learn how to incorporate algorithms through discovering data models, identifying similarities and relationships in your data, and how to predict the future through data classification. You will develop a roadmap by preparing your data, creating goals, processing your data, and building a predictive model that will get stakeholder buy-in. The author will also address "soft" issues, including handling people, setting realistic goals, protecting budgets, making useful presentations, and more, to help the reader prepare for shepherding predictive analysis projects through their companies.

Coverage will include:

Real-world tips for creating business value

Common use cases to help you get started

Details on modeling, k-means clustering, and more

How you can predict the future with classification

Information on structuring your data

Methods for testing models

Hands-on guides to software installation

Tips on outlining business goals and approaches

Dr. Anasse Bari, Ph.D. is data science expert and a university professor who has many years of predictive modeling and data analytics experience.
Mohamed Chaouchi is a veteran software engineer who has conducted extensive research using data mining methods.
Tommy Jung is a software engineer with expertise in enterprise web applications and analytics.