Data Just Right
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Data Just Right
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Author : Michael Manoochehri
language : en
Publisher: Addison-Wesley
Release Date : 2013-11-30
Data Just Right written by Michael Manoochehri and has been published by Addison-Wesley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-30 with Computers categories.
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
Statistical Methods For Food Science
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Author : John A. Bower
language : en
Publisher: John Wiley & Sons
Release Date : 2009-11-09
Statistical Methods For Food Science written by John A. Bower and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-09 with Technology & Engineering categories.
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
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Author : Hal MacFie
language : en
Publisher: Elsevier
Release Date : 2007-06-30
Consumer Led Food Product Development written by Hal MacFie and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-30 with Technology & Engineering categories.
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
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Author : Jeremy Watt
language : en
Publisher:
Release Date : 2020-01-29
Machine Learning Refined written by Jeremy Watt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-29 with Computers categories.
An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.
Data Mining For The Social Sciences
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Author : Paul Attewell
language : en
Publisher: Univ of California Press
Release Date : 2015-04-30
Data Mining For The Social Sciences written by Paul Attewell and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-30 with Social Science categories.
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.
I Am Just Right
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Author : David McPhail
language : en
Publisher: National Geographic Books
Release Date : 2020-04-07
I Am Just Right written by David McPhail and has been published by National Geographic Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-07 with Juvenile Fiction categories.
The boy in this book is growing and changing--just like you! Self-acceptance and change are celebrated when a child gives up babyish ways and becomes a "big boy!" A sweet Level C story that teaches kids that it's okay to change. I am too big for my crib. I am too big for my shirt The boy in this book is too big for his crib, his shoes, and his tricycle. And he is too big for Grandpa to pick up. But he is just right for his big-boy bed, his new shirt, and his bicycle. And he is just right for a hug from Grandpa, for his sister, and for this book. He is just right! Delightful illustrations by David McPhail make this confidence-building picture book just right for preschoolers and kindergarteners. A celebration of self-acceptance, growth, and change! For readers who have mastered basic sight words, Level C books feature slightly longer sentences and awider range of high-frequency words than Level B books. Level C books are suitable for mid-to-latekindergarten readers. When Level C is mastered, follow up with Level D. The award-winning I Like to Read® series focuses on guided reading levels A through G, based uponFountas and Pinnell standards. Acclaimed author-illustrators--including winners of Caldecott, TheodorSeuss Geisel, and Coretta Scott King honors—create original, high quality illustrations that supportcomprehension of simple text and are fun for kids to read with parents, teachers, or on their own!
Multivariate And Probabilistic Analyses Of Sensory Science Problems
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Author : Jean-François Meullenet
language : en
Publisher: John Wiley & Sons
Release Date : 2007-08-28
Multivariate And Probabilistic Analyses Of Sensory Science Problems written by Jean-François Meullenet and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-28 with Technology & Engineering categories.
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
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Author : Mohamed Elgendy
language : en
Publisher: Simon and Schuster
Release Date : 2020-10-11
Deep Learning For Vision Systems written by Mohamed Elgendy and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-11 with Computers categories.
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
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Author : Cengiz Kahraman
language : en
Publisher: Springer
Release Date : 2019-07-05
Intelligent And Fuzzy Techniques In Big Data Analytics And Decision Making written by Cengiz Kahraman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-05 with Technology & Engineering categories.
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.
Applications Of Data Management And Analysis
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Author : Mohammad Moshirpour
language : en
Publisher: Springer
Release Date : 2018-10-04
Applications Of Data Management And Analysis written by Mohammad Moshirpour and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-04 with Business & Economics categories.
This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and increasing demands of big data management from an applications perspective. Various case studies included have been reported by data analysis experts who work closely with their clients in such fields as education, banking, and telecommunications. Understanding how data management has been adapted to these applications will help students, instructors and professionals in the field. Application areas also include the fields of social network analysis, bioinformatics, and the oil and gas industries.