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Description
"This book brings together an international team of eighty experts to present readers with the next generation of data-mining application. Unlike other publications that take a strictly academic and theoretical approach, this book features authors who have successfully developed data mining solutions for a variety of customer types."--Jacket.
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Description
"Data mining can be revolutionary- but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology...
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Description
Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement...
Description
"This book is a collection of knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods and systems for XML data mining that can be used to address key issues and challenges in XML data mining"--Provided by publisher.
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Description
"In the fast moving world of the fourth industrial revolution not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze and communicate with data. It is not enough for a business to have the best technology if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity,...
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Description
"This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart decisions across various fields of research including business, engineering, finance, and the social sciences." "Each method...
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Description
"The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the 'natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit,...
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Description
Mining data requires a deep investment in people and time. How can you be sure you're building the right models? What tools help you connect with the customer's needs? With this hands-on book, you'll learn a flexible toolset and methodology for building effective analytics applications.
Description
In this self-paced course you learn about the process for planning data analysis solutions and the various data analytic processes that are involved. This course takes you through five key factors that indicate the need for specific AWS services in collecting, processing, analyzing, and presenting your data. This includes learning basic architectures, value propositions, and potential use cases. Duration: 3 hours 30 minutes.--Publisher.
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Description
Leading companies are doing more than just collecting and storing data in large quantities--they're now driving their competitive strategies based on data-driven insights. And achieving impressive results: Identifying the most profitable customers, accelerating product innovation, optimizing supply chains and pricing, and leveraging the true drivers of financial performance. The secret weapon? Analytics--sophisticated quantitative and statistical...
Description
In this Getting Started course you will learn about the benefits, features, typical use cases, technical concepts, and costs of Amazon Textract. You will review an architecture for a text-extraction solution using Amazon Textract that you can further adapt to your use case. Through a guided tutorial you will also try the service in your own Amazon Web Services (AWS) account. Duration: 1 hour 30 minutes.--Publisher.
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Description
"Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges."--BOOK JACKET. "Is there a need for mining? Do you have the right tools? Do you have the people to do the work? Do you have sufficient funds allocated to the project? All these questions must be answered before embarking on a project. Data Mining provides singular guidance...
Description
In this course, you will learn the benefits and technical concepts of Amazon Managed Grafana, a fully managed service based on open-source Grafana. With Amazon Managed Grafana, you can analyze your metrics, logs, and traces without having to provision servers, or configure and update software. Duration: 1 hour.--Publisher.
Author
Description
"This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet. It covers mining ideas from several perspectives - statistics, data mining, linguistics, and information retrieval - and provides readers with the means to successfully complete text mining tasks on their own."--Jacket.
Author
Description
Readers [of this book] are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal tasks and technical solutions related to the analysis of data, including: problem definitions; data preparation; data visualization; data mining; statistics; grouping methods; predictive modeling; deployment issues and applications. Throughout the book,...
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