Predictive Analytics For Dummies
| Author | : | |
| Rating | : | 4.94 (548 Votes) |
| Asin | : | 1119267005 |
| Format Type | : | paperback |
| Number of Pages | : | 456 Pages |
| Publish Date | : | 2013-09-07 |
| Language | : | English |
DESCRIPTION:
Tommy Jung is a software engineer with expertise in enterprise web applications and analytics. 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.
In no time, you'll learn how to incorporate algorithms through data models, identify similarities and relationships in your data, and predict the future through data classification. If you want to get in on the action and either learn or deepen your understanding of how to use predictive analytics to find real relationships between what you know and what you want to know, everything you need is a page away! Offers common use cases to help you get startedCovers details on modeling, k-means clustering, and moreIncludes information on structuring your dataProvides tips on outlining business goals and approachesThe future starts today with the help of Predictive Analytics For Dummies.. Big Data has taken the marketplace by storm, and companies are seeking qualified talent to quickly fill positions to analyze the massive amount of data that are being collected each day. With the help of this friendly guide, you'll discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. Along the way, you'll develop a roadmap by
Over 400 pages of great information, the authors explain all aspects of predictive Amazon Customer First impression: this is a major upgrade from the first edition. Over 400 pages of great information, the authors explain all aspects of predictive analytics and data modeling. This is one of the rare books that cover everything you need to know about this fascinating field. The book covers types of data and various aspects of analytics, data preparation, data modeling, algorithms, technologies, and it dives into the realm of big data. It provides solid insights on how to and what to expect. This is a must read by all practitioners and w. "Highly recommended." according to db. This is an all encompassing book about Predictive Analytics, covering all the topics you run into in this field. As a practitioner, I found this book very satisfying; it strikes a balance between in-depth analysis, and broad-ground covering of the relevant topics. The tips dispensed throughout the book were especially helpful. Also, the authors were able to communicate very complex topics relating to modeling aspects, and data preparation with clarity and precision rarely found in specialized books. Highly recommended.. Amazing! Makaveli Great book, the leading source for learning about data science! Very knowledgable authors with great expertise in their fields. Would recommend this to anyone interested in learning more about predictive analytics!
Inside How to start a projectIdentifying data typesModeling tipsWorking with algorithmsHow data clustering worksHow data classification worksHow deep learning worksAdvice on presentationsStep-by-step predictive modeling. Predictive analytics is the tool that can make it happen, and this book eliminates the tricks and shows you how to use it. You'll learn to prepare and process your data, create goals, build a predictive model, get your organization's stakeholders on board, and more. From the Back CoverReal-world tips for creating business valueDetails on modeling, data clustering, and more Enterprise use cases to help you get started Learn to predict the future! Business today relies on effectively using data to predict trends and sales