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Author: Dr. Raja Sarath Kumar Boddu
Publisher: Xoffencerpublication
ISBN: 9394707239
Category : Computers
Languages : en
Pages : 254
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Book Description
Over the course of the last decade, the amount of data with which one must deal has skyrocketed to levels that are difficult to fathom, while at the same time, the cost of storing data has steadily decreased. Private firms and research organizations collect terabytes of data about their customers' interactions, commerce, and social media, as well as sensors from devices such as mobile phones and vehicles. This data is used for a variety of purposes, including marketing and advertising. Figuring out how to make sense of all this data is one of the most difficult challenges of our day. The analysis of large amounts of data comes into play at this point. Big Data Analytics entails, for the most part, the gathering of data from a variety of sources, the management of this data in such a manner that it can be utilized by analysts, and the delivery of data products that are beneficial to the organization's business.
Author: Dr. Raja Sarath Kumar Boddu
Publisher: Xoffencerpublication
ISBN: 9394707239
Category : Computers
Languages : en
Pages : 254
Get Book Here
Book Description
Over the course of the last decade, the amount of data with which one must deal has skyrocketed to levels that are difficult to fathom, while at the same time, the cost of storing data has steadily decreased. Private firms and research organizations collect terabytes of data about their customers' interactions, commerce, and social media, as well as sensors from devices such as mobile phones and vehicles. This data is used for a variety of purposes, including marketing and advertising. Figuring out how to make sense of all this data is one of the most difficult challenges of our day. The analysis of large amounts of data comes into play at this point. Big Data Analytics entails, for the most part, the gathering of data from a variety of sources, the management of this data in such a manner that it can be utilized by analysts, and the delivery of data products that are beneficial to the organization's business.
Author: Dorian Pyle
Publisher: Morgan Kaufmann
ISBN: 9781558605299
Category : Computers
Languages : en
Pages : 566
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Book Description
This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance.
Author: Kristoffer Bjärkefur
Publisher: World Bank Publications
ISBN: 1464816956
Category : Business & Economics
Languages : en
Pages : 393
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Book Description
Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well asillustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically.“In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.”—Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University“Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.”—Ruth E. Levine, PhD, CEO, IDinsight“Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.”—Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley“The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.”—Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University
Author: Carlos Andre Reis Pinheiro
Publisher: SAS Institute
ISBN: 1953329624
Category : Computers
Languages : en
Pages : 175
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Book Description
Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies. From data preparation and exploration to model assessment and deployment, this book describes every stage of the analytics life cycle, including a comprehensive overview of unsupervised and supervised machine learning techniques. The book guides you through the necessary steps to pick the best techniques and models and then implement those models to successfully address the original business need. No software is shown in the book, and mathematical details are kept to a minimum. This allows you to develop an understanding of the fundamentals of data science, no matter what background or experience level you have.
Author: Thomas Reinartz
Publisher: Springer
ISBN: 3540483160
Category : Computers
Languages : en
Pages : 317
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Book Description
In the first part, this book analyzes the knowledge discovery process in order to understand the relations between knowledge discovery steps and focusing. The part devoted to the development of focusing solutions opens with an analysis of the state of the art, then introduces the relevant techniques, and finally culminates in implementing a unified approach as a generic sampling algorithm, which is then integrated into a commercial data mining system. The last part evaluates specific focusing solutions in various application domains. The book provides various appendicies enhancing easy accessibility. The book presents a comprehensive introduction to focusing in the context of data mining and knowledge discovery. It is written for researchers and advanced students, as well as for professionals applying data mining and knowledge discovery techniques in practice.
Author: Vikas Anand Saharan
Publisher: CRC Press
ISBN: 1040101658
Category : Medical
Languages : en
Pages : 519
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Book Description
Pharmaceutical researchers are constantly looking for drug products, drug delivery systems and devices for improving the health of society. A scientific and systematic search for new knowledge requires a thorough understanding of research methods and hypothesis design. This volume presents pharmaceutical research through theoretical concepts, methodologies and ethical issues. It fulfils publication ethics course work requirements for students. Chapters have been designed to cater for the curriculum requirements of universities globally. This serves as a guide on how to apply concepts in designing experiments and transforming laboratory research into actual practice. Features: · Complete coverage of research methodology courses for graduate and postgraduate students globally. · Step-by-step assistance in writing technical reports, projects, protocols, theses and dissertations. · Experimental designing in pharmaceutical formulation development and preclinical research designs. · Ethics in using animals in preclinical research and humans in clinical research. · Publication ethics, best practices and guidelines for ensuring ethical writing. · Hypothetical and real-world case studies on ethical issues and measures for prevention and control.
Author: Robert Nisbet
Publisher: Elsevier
ISBN: 0443158460
Category : Mathematics
Languages : en
Pages : 495
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Book Description
Handbook of Statistical Analysis: AI and ML Applications, third edition, is a comprehensive introduction to all stages of data analysis, data preparation, model building, and model evaluation. This valuable resource is useful to students and professionals across a variety of fields and settings: business analysts, scientists, engineers, and researchers in academia and industry. General descriptions of algorithms together with case studies help readers understand technical and business problems, weigh the strengths and weaknesses of modern data analysis algorithms, and employ the right analytical methods for practical application. This resource is an ideal guide for users who want to address massive and complex datasets with many standard analytical approaches and be able to evaluate analyses and solutions objectively. It includes clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques; offers accessible tutorials; and discusses their application to real-world problems. - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data analytics to build successful predictive analytic solutions - Provides in-depth descriptions and directions for performing many data preparation operations necessary to generate data sets in the proper form and format for submission to modeling algorithms - Features clear, intuitive explanations of standard analytical tools and techniques and their practical applications - Provides a number of case studies to guide practitioners in the design of analytical applications to solve real-world problems in their data domain - Offers valuable tutorials on the book webpage with step-by-step instructions on how to use suggested tools to build models - Provides predictive insights into the rapidly expanding "Intelligence Age" as it takes over from the "Information Age," enabling readers to easily transition the book's content into the tools of the future
Author: Ali Soofastaei
Publisher: CRC Press
ISBN: 0429781776
Category : Computers
Languages : en
Pages : 273
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Book Description
Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples. Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book: Explains how to implement advanced data analytics through case studies and examples in mining engineering Provides approaches and methods to improve data-driven decision making Explains a concise overview of the state of the art for Mining Executives and Managers Highlights and describes critical opportunity areas for mining optimization Brings experience and learning in digital transformation from adjacent sectors
Author: Sumit Gupta
Publisher: Packt Publishing Ltd
ISBN: 1800209339
Category : Computers
Languages : en
Pages : 823
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Book Description
Learn how to bring your data to life with this hands-on guide to visual analytics with Tableau Key FeaturesMaster the fundamentals of Tableau Desktop and Tableau PrepLearn how to explore, analyze, and present data to provide business insightsBuild your experience and confidence with hands-on exercises and activitiesBook Description Learning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you'll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience. As you work through the book, you'll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You'll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users. All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You'll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays. By the end of this Tableau book, you'll have the skills and knowledge to confidently present analytical results and make data-driven decisions. What you will learnBecome an effective user of Tableau Prep and Tableau DesktopLoad, combine, and process data for analysis and visualizationUnderstand different types of charts and when to use themPerform calculations to engineer new data and unlock hidden insightsAdd interactivity to your visualizations to make them more engagingCreate holistic dashboards that are detailed and user-friendlyWho this book is for This book is for anyone who wants to get started on visual analytics with Tableau. If you're new to Tableau, this Workshop will get you up and running. If you already have some experience in Tableau, this book will help fill in any gaps, consolidate your understanding, and give you extra practice of key tools.
Author: Parveen Kumari
Publisher: BFC Publications
ISBN: 9357644725
Category : Science
Languages : en
Pages : 140
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Book Description
Data science is the study of how to extract useful information from data for students, strategic planning, and other purposes by using cutting-edge analytics methods, and scientific principles. Data science combines a number of fields, such as information technology, preparing data, data mining, predictive analytics, machine learning, and data visualization, in addition to statistics, mathematics, and software development.
