Data Just Right

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Data Just Right

Michael Manoochehri
Data Just Right Book PDF

Author : Michael Manoochehri
Publisher : Addison-Wesley
Page : 249 pages
File Size : 44,5 Mb
Release : 2013-11-30
Category : Computers
ISBN : 9780133359077

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Data Just Right by Michael Manoochehri Pdf

Making Big Data Work: Real-World Use Cases and Examples, Practical Code, Detailed Solutions Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets; distributed cloud computing offers the resources to store and analyze them; and professionals have radically new technologies at their command, including NoSQL databases. Until now, however, most books on “Big Data” have been little more than business polemics or product catalogs. Data Just Right is different: It’s a completely practical and indispensable guide for every Big Data decision-maker, implementer, and strategist. Michael Manoochehri, a former Google engineer and data hacker, writes for professionals who need practical solutions that can be implemented with limited resources and time. Drawing on his extensive experience, he helps you focus on building applications, rather than infrastructure, because that’s where you can derive the most value. Manoochehri shows how to address each of today’s key Big Data use cases in a cost-effective way by combining technologies in hybrid solutions. You’ll find expert approaches to managing massive datasets, visualizing data, building data pipelines and dashboards, choosing tools for statistical analysis, and more. Throughout, the author demonstrates techniques using many of today’s leading data analysis tools, including Hadoop, Hive, Shark, R, Apache Pig, Mahout, and Google BigQuery. Coverage includes Mastering the four guiding principles of Big Data success—and avoiding common pitfalls Emphasizing collaboration and avoiding problems with siloed data Hosting and sharing multi-terabyte datasets efficiently and economically “Building for infinity” to support rapid growth Developing a NoSQL Web app with Redis to collect crowd-sourced data Running distributed queries over massive datasets with Hadoop, Hive, and Shark Building a data dashboard with Google BigQuery Exploring large datasets with advanced visualization Implementing efficient pipelines for transforming immense amounts of data Automating complex processing with Apache Pig and the Cascading Java library Applying machine learning to classify, recommend, and predict incoming information Using R to perform statistical analysis on massive datasets Building highly efficient analytics workflows with Python and Pandas Establishing sensible purchasing strategies: when to build, buy, or outsource Previewing emerging trends and convergences in scalable data technologies and the evolving role of the Data Scientist

The Just Right Home

Marianne Cusato
The Just Right Home Book PDF

Author : Marianne Cusato
Publisher : Workman Publishing Company
Page : 385 pages
File Size : 50,9 Mb
Release : 2013-04-12
Category : Business & Economics
ISBN : 9780761176831

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The Just Right Home by Marianne Cusato Pdf

Thirty-seven million Americans move during any given year. Millions more think about it. They all want the same thing—a perfect place to live. But most of us have only the vaguest idea of what makes us happy, home-wise, and don’t even know all the questions to ask. That’s where Marianne Cusato comes in. One of the most influential people in the home-building industry, designer of the Katrina Cottages, and go-to authority for the media on issues related to housing, she’s written a comprehensive, interactive guide to finding the just right home. This is the book that answers the plea she hears every time she gives a speech—“I wish I’d talked to you before buying my house!” By leading the reader through every step of choosing a home—from the broad strokes, such as city vs. suburb and buy vs. rent, to specific details of energy use and building materials—The Just Right Home helps readers understand not only what they want in a home but what they need. It shows why proximity—to work, to stores, to schools—trumps location, and what the difference means. Why a property’s live-in value is greater than its resale value. How to identify and assess the big three variables: function, cost, delight. How to get a realistic grip on budget, including factoring in maintenance costs. How to plan for future needs—children moving out, a parent moving in, or just growing old in a home. Why all square feet are not created equal. The ins and outs of zonings, covenants, home-owner associations. The five elements to look for when walking through a property. How much to pay an inspector. And so much more. Filled with sidebars, boxes, examples, anecdotes, and cheat sheets, it’s the book that helps readers answer all their questions about where to live and what to live in.

The Just Right Home

Marianne Cusato
The Just Right Home Book PDF

Author : Marianne Cusato
Publisher : Workman Publishing
Page : 385 pages
File Size : 40,9 Mb
Release : 2013-01-01
Category : Business & Economics
ISBN : 9780761168911

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The Just Right Home by Marianne Cusato Pdf

Offers a guide to finding the perfect home, covering such topics as renting versus buying, mortgages, assessing neighborhoods, budgeting, evaluating a property's condition, and determining energy use and efficiency.

Just Right for Christmas

Birdie Black
Just Right for Christmas Book PDF

Author : Birdie Black
Publisher : Unknown
Page : 0 pages
File Size : 52,5 Mb
Release : 2016-10
Category : Gifts
ISBN : 0857638556

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Just Right for Christmas by Birdie Black Pdf

A Christmas classic in the making

Statistical Methods for Food Science

John A. Bower
Statistical Methods for Food Science Book PDF

Author : John A. Bower
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 40,6 Mb
Release : 2009-11-09
Category : Technology & Engineering
ISBN : 1444320955

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Statistical Methods for Food Science by John A. Bower Pdf

The recording and analysis of food data are becoming increasingly sophisticated. Consequently, the food scientist in industry or at study faces the task of using and understanding statistical methods. Statistics is often viewed as a difficult subject and is often avoided because of its complexity and a lack of specific application to the requirements of food science. This situation is changing – there is now much material on multivariate applications for the more advanced reader, but a case exists for a univariate approach aimed at the non-statistician. This book provides a source text on accessible statistical procedures for the food scientist, and is aimed at professionals and students in food laboratories where analytical, instrumental and sensory data are gathered and require some form of summary and analysis before interpretation. It is suitable for the food analyst, the sensory scientist and the product developer, and others who work in food-related disciplines involving consumer survey investigations will also find many sections of use. There is an emphasis on a ‘hands on’ approach, and worked examples using computer software packages and the minimum of mathematical formulae are included. The book is based on the experience and practice of a scientist engaged for many years in research and teaching of analytical and sensory food science at undergraduate and post-graduate level.

Consumer-Led Food Product Development

Hal MacFie
Consumer Led Food Product Development Book PDF

Author : Hal MacFie
Publisher : Elsevier
Page : 632 pages
File Size : 43,9 Mb
Release : 2007-06-30
Category : Technology & Engineering
ISBN : 9781845693381

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Consumer-Led Food Product Development by Hal MacFie Pdf

Consumer acceptance is the key to successful food products. It is vital, therefore, that product development strategies are consumer-led for food products to be well received. Consumer-led food product development presents an up-to-date review of the latest scientific research and methods in this important area. Part one gives the reader a general introduction to factors affecting consumer food choice. Chapters explore issues such as sensory perception, culture, ethics, attitudes towards innovation and psychobiological mechanisms. Part two analyses methods to understand consumers’ food-related attitudes and how these methods can be effectively used, covering techniques such as means-end chains and the food-related lifestyle approach. The final part of the book addresses a wide variety of methods used for consumer-led product development. Opportunity identification, concept development, difference testing and preference trials are discussed, as well as the use of techniques such as just-about-right scales and partial least squares methods. Written by an array of international experts, Consumer-led food product development is an essential reference for product developers in the food industry. Introduces the factors affecting consumer food choice Explores issues such as sensory perception, culture and ethics Analyses methods to understand food related attitudes

Machine Learning Refined

Jeremy Watt,Reza Borhani,Aggelos K. Katsaggelos
Machine Learning Refined Book PDF

Author : Jeremy Watt,Reza Borhani,Aggelos K. Katsaggelos
Publisher : Unknown
Page : 598 pages
File Size : 54,7 Mb
Release : 2020-01-29
Category : Computers
ISBN : 9781108575546

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Machine Learning Refined by Jeremy Watt,Reza Borhani,Aggelos K. Katsaggelos Pdf

An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.

Data Mining for the Social Sciences

Paul Attewell,David Monaghan
Data Mining for the Social Sciences Book PDF

Author : Paul Attewell,David Monaghan
Publisher : Univ of California Press
Page : 265 pages
File Size : 52,7 Mb
Release : 2015-04-30
Category : Social Science
ISBN : 9780520960596

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Data Mining for the Social Sciences by Paul Attewell,David Monaghan Pdf

We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.

Just Right for Two

Tracey Corderoy
Just Right for Two Book PDF

Author : Tracey Corderoy
Publisher : Candlewick Press
Page : 37 pages
File Size : 52,9 Mb
Release : 2014
Category : Juvenile Nonfiction
ISBN : 9780763673444

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Just Right for Two by Tracey Corderoy Pdf

Dog has everything he needs in his big blue suitcase. Or does he? Dog’s big blue suitcase is the perfect fit for all the little treasures he has collected. He is sure that he is happy with just himself and his suitcase. Until one night when Mouse comes along, and Dog discovers that his big blue suitcase is actually just right for two.

Multivariate and Probabilistic Analyses of Sensory Science Problems

Jean-François Meullenet,Rui Xiong,Christopher J. Findlay
Multivariate and Probabilistic Analyses of Sensory Science Problems Book PDF

Author : Jean-François Meullenet,Rui Xiong,Christopher J. Findlay
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 53,7 Mb
Release : 2007-08-28
Category : Technology & Engineering
ISBN : 9780813801780

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Multivariate and Probabilistic Analyses of Sensory Science Problems by Jean-François Meullenet,Rui Xiong,Christopher J. Findlay Pdf

Sensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses of Sensory Science Problems explains the multivariate and probabilistic methods available to sensory scientists involved in product development or maintenance. The techniques discussed address sensory problems such as panel performance, product profiling, and exploration of consumer data, including segmentation and identifying drivers of liking. Applied in approach and written for non-statisticians, the text is aimed at sensory scientists who deal mostly with descriptive analysis and consumer studies. Multivariate and Probabilistic Analyses of Sensory Science Problems offers simple, easy-to-understand explanations of difficult statistical concepts and provides an extensive list of case studies with step-by-step instructions for performing analyses and interpreting the results. Coverage includes a refresher on basic multivariate statistical concepts; use of common data sets throughout the text; summary tables presenting the pros and cons of specific methods and the conclusions that may be drawn from using various methods; and sample program codes to perform the analyses and sample outputs. As the latest member of the IFT Press series, Multivariate and Probabilistic Analyses of Sensory Science Problems will be welcomed by sensory scientists in the food industry and other industries using similar testing methodologies, as well as by faculty teaching advanced sensory courses, and professionals conducting and participating in workshops addressing multivariate analysis of sensory and consumer data.

Deep Learning for Vision Systems

Mohamed Elgendy
Deep Learning for Vision Systems Book PDF

Author : Mohamed Elgendy
Publisher : Simon and Schuster
Page : 478 pages
File Size : 41,5 Mb
Release : 2020-10-11
Category : Computers
ISBN : 9781638350415

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Deep Learning for Vision Systems by Mohamed Elgendy Pdf

How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. Summary Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you’ll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology How much has computer vision advanced? One ride in a Tesla is the only answer you’ll need. Deep learning techniques have led to exciting breakthroughs in facial recognition, interactive simulations, and medical imaging, but nothing beats seeing a car respond to real-world stimuli while speeding down the highway. About the book How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. What's inside Image classification and object detection Advanced deep learning architectures Transfer learning and generative adversarial networks DeepDream and neural style transfer Visual embeddings and image search About the reader For intermediate Python programmers. About the author Mohamed Elgendy is the VP of Engineering at Rakuten. A seasoned AI expert, he has previously built and managed AI products at Amazon and Twilio. Table of Contents PART 1 - DEEP LEARNING FOUNDATION 1 Welcome to computer vision 2 Deep learning and neural networks 3 Convolutional neural networks 4 Structuring DL projects and hyperparameter tuning PART 2 - IMAGE CLASSIFICATION AND DETECTION 5 Advanced CNN architectures 6 Transfer learning 7 Object detection with R-CNN, SSD, and YOLO PART 3 - GENERATIVE MODELS AND VISUAL EMBEDDINGS 8 Generative adversarial networks (GANs) 9 DeepDream and neural style transfer 10 Visual embeddings

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making Book PDF

Author : Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
Publisher : Springer
Page : 1392 pages
File Size : 51,7 Mb
Release : 2019-07-05
Category : Technology & Engineering
ISBN : 9783030237561

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Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making by Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari Pdf

This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

Selecting the Right Analyses for Your Data

W. Paul Vogt,Dianne C. Gardner,Elaine R. Vogt,Lynne M. Haeffele
Selecting the Right Analyses for Your Data Book PDF

Author : W. Paul Vogt,Dianne C. Gardner,Elaine R. Vogt,Lynne M. Haeffele
Publisher : Guilford Publications
Page : 521 pages
File Size : 49,7 Mb
Release : 2014-05-19
Category : Social Science
ISBN : 9781462515769

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Selecting the Right Analyses for Your Data by W. Paul Vogt,Dianne C. Gardner,Elaine R. Vogt,Lynne M. Haeffele Pdf

"What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily "flip and find" answers to specific questions. Nontechnical discussions of cutting-edge approaches--illustrated with real-world examples--emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results. Useful features for teaching or self-study: *Chapter-opening preview boxes that highlight useful topics addressed. *End-of-chapter summary tables recapping the 'dos and don'ts' and advantages and disadvantages of each analytic technique. *Annotated suggestions for further reading and technical resources on each topic. Subject Areas/Keywords: analyses, coding, combined methods, data analysis, data collection, dissertation, graphical, interpretation, mixed methods, qualitative, quantitative, research analysis, research designs, research methods, social sciences, thesis, visual Audience: Researchers, instructors, and graduate students in a range of disciplines, including psychology, education, social work, sociology, health, and management; administrators and managers who need to make data-driven decisions"--

A Contingency Table Approach to Nonparametric Testing

J.C.W. Rayner,D.J. Best
A Contingency Table Approach to Nonparametric Testing Book PDF

Author : J.C.W. Rayner,D.J. Best
Publisher : CRC Press
Page : 302 pages
File Size : 53,7 Mb
Release : 2000-12-07
Category : Mathematics
ISBN : 9781420035957

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A Contingency Table Approach to Nonparametric Testing by J.C.W. Rayner,D.J. Best Pdf

Most texts on nonparametric techniques concentrate on location and linear-linear (correlation) tests, with less emphasis on dispersion effects and linear-quadratic tests. Tests for higher moment effects are virtually ignored. Using a fresh approach, A Contingency Table Approach to Nonparametric Testing unifies and extends the popular, standard test

Practical Usage of ISPF Dialog Manager

Anthony S. Rudd
Practical Usage of ISPF Dialog Manager Book PDF

Author : Anthony S. Rudd
Publisher : Springer Science & Business Media
Page : 397 pages
File Size : 47,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447130406

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Practical Usage of ISPF Dialog Manager by Anthony S. Rudd Pdf

Practical Usage of ISPF Dialog Manager is a concise and comprehensive source of information for the development of applications using IBM's Dialog Management package. Dialog Manager is a vehicle for implementing dialogue applications (such as PDF - Program Development Facility) and is very well suited to the implementation of individual dialogue systems and those systems which are required to run from the TSO/ISPF environment. It is also ideally suited for prototyping. This book is intended for both beginners and experts. With its carefully chosen blend of theory and practice, and extensive use of examples and case studies, this book will provide an invaluable guide to all those needing to learn about or using the ISPF Dialog Manager.