Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst (Paperback)

Learn the art and science of predictive analytics — techniques that get results

Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included.

• The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today
• This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions
• Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish
• Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios
• A companion website provides all the data sets used to generate the examples as well as a free trial version of software

Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.

學習預測分析的藝術與科學 - 獲得實際成果的技術

預測分析是將大數據轉化為有意義、可應用的商業信息的技術。本指南由該領域的領先專家撰寫，探討了預測分析的基礎算法科學以及管理預測分析藝術的原則和最佳實踐。它清楚地解釋了預測分析背後的理論，教授了進行預測分析項目的方法、原則和技巧，並提供了成功預測建模所必不可少的技巧和訣竅。書中包含了實際案例和案例研究。

成功應用預測分析的能力使企業能夠有效解讀大數據，這在當今競爭中至關重要。

本指南不僅教授預測分析的原則，還教授如何應用這些原則實現真實、實用的解決方案。

從頭到尾解釋了進行預測分析項目的方法、原則和技巧。

通過實際案例示範每種技術，並包含一系列深入的案例研究，將預測分析應用於常見的商業情境。

配套網站提供了生成示例所使用的所有數據集，以及軟件的免費試用版本。

《應用預測分析》為數據和業務分析師以及業務經理提供了解釋和利用大數據的工具。