Dean Abbott – författare

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.

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.

In an age of moral confusion, people are looking for answers. The conflicting demands of our time and the cultural and social upheaval that we witness daily have left people confused and exhausted. Many are looking for resources to help them understand current developments, timeless truths, and the relationship between the two. This book can help. Here, the author examines a number of character qualities, vices and virtues we all encounter daily. Through attending to these, we can bring greater clarity into our personal lives and relationships. Moreover, through avoiding the vices and cultivating the virtues examined here, we can greatly improve our chances of living lives marked by peace, meaning, and happiness.

If you ve already had some experience with IBM SPSS Modeler this cookbook will help you delve deeper and exploit the incredible potential of this data mining workbench. The recipes come from some of the best brains in the business.Key FeaturesGo beyond mere insight and build models than you can deploy in the day to day running of your businessSave time and effort while getting more value from your data than ever beforeLoaded with detailed step-by-step examples that show you exactly how it's done by the best in the businessBook DescriptionIBM SPSS Modeler is a data mining workbench that enables you to explore data, identify important relationships that you can leverage, and build predictive models quickly allowing your organization to base its decisions on hard data not hunches or guesswork.IBM SPSS Modeler Cookbook takes you beyond the basics and shares the tips, the timesavers, and the workarounds that experts use to increase productivity and extract maximum value from data. The authors of this book are among the very best of these exponents, gurus who, in their brilliant and imaginative use of the tool, have pushed back the boundaries of applied analytics. By reading this book, you are learning from practitioners who have helped define the state of the art.Follow the industry standard data mining process, gaining new skills at each stage, from loading data to integrating results into everyday business practices. Get a handle on the most efficient ways of extracting data from your own sources, preparing it for exploration and modeling. Master the best methods for building models that will perform well in the workplace.Go beyond the basics and get the full power of your data mining workbench with this practical guide.What you will learnUse and understand the industry standard CRISP_DM process for data mining.Assemble data simply, quickly, and correctly using the full power of extraction, transformation, and loading (ETL) tools.Control the amount of time you spend organizing and formatting your data.Develop predictive models that stand up to the demands of real-life applications.Take your modeling to the next level beyond default settings and learn the tips that the experts use.Learn why the best model is not always the most accurate one.Master deployment techniques that put your discoveries to work making the most of your business most critical resources.Challenge yourself with scripting for ultimate control and automation - it s easier than you think!Who this book is forIf you have had some hands-on experience with IBM SPSS Modeler and now want to go deeper and take more control over your data mining process, this is the guide for you. It is ideal for practitioners who want to break into advanced analytics.