Products related to Patterns:
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Conflict Mediation Across Cultures : Pathways and Patterns
David Augsburger believes conflict is inevitable in human life, but that it is essential and can be quite constructive.He proposes a shift to an "international" approach in resolving conflict.He focuses on interpersonal and group conflicts and provides a comparison of conflict patterns within and among various cultures.
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Deep Learning Design Patterns
Deep learning has revealed ways to create algorithms for applications that we never dreamed were possible.For software developers, the challenge lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Design Patterns is here to help.In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects.Written by Google deep learning expert Andrew Ferlitsch, it's filled with the latest deep learning insights and best practices from his work with Google Cloud AI.Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. about the technologyYou don't need to design your deep learning applications from scratch!By viewing cutting-edge deep learning models as design patterns, developers can speed up their creation of AI models and improve model understandability for both themselves and other users. about the book Deep Learning Design Patterns distills models from the latest research papers into practical design patterns applicable to enterprise AI projects.Using diagrams, code samples, and easy-to-understand language, Google Cloud AI expert Andrew Ferlitsch shares insights from state-of-the-art neural networks.You'll learn how to integrate design patterns into deep learning systems from some amazing examples, including a real-estate program that can evaluate house prices just from uploaded photos and a speaking AI capable of delivering live sports broadcasting.Building on your existing deep learning knowledge, you'll quickly learn to incorporate the very latest models and techniques into your apps as idiomatic, composable, and reusable design patterns. what's inside Internal functioning of modern convolutional neural networksProcedural reuse design pattern for CNN architecturesModels for mobile and IoT devicesComposable design pattern for automatic learning methodsAssembling large-scale model deploymentsComplete code samples and example notebooksAccompanying YouTube videos about the readerFor machine learning engineers familiar with Python and deep learning. about the author Andrew Ferlitsch is an expert on computer vision and deep learning at Google Cloud AI Developer Relations.He was formerly a principal research scientist for 20 years at Sharp Corporation of Japan, where he amassed 115 US patents and worked on emerging technologies in telepresence, augmented reality, digital signage, and autonomous vehicles.In his present role, he reaches out to developer communities, corporations and universities, teaching deep learning and evangelizing Google's AI technologies.
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Distributed Machine Learning Patterns
Practical patterns for scaling machine learning from your laptop to a distributed cluster. In Distributed Machine Learning Patterns you will learn how to: Apply distributed systems patterns to build scalable and reliable machine learning projectsConstruct machine learning pipelines with data ingestion, distributed training, model serving, and moreAutomate machine learning tasks with Kubernetes, TensorFlow, Kubeflow, and Argo WorkflowsMake trade offs between different patterns and approachesManage and monitor machine learning workloads at scale Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In Distributed Machine Learning Patterns, you'll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well.Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows.Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters.In it, you'll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well.Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows.Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. about the technology Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners.Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations.In this book, Kubeflow co-chair Yuan Tang shares patterns, techniques, and experience gained from years spent building and managing cutting-edge distributed machine learning infrastructure. about the book Distributed Machine Learning Patterns is filled with practical patterns for running machine learning systems on distributed Kubernetes clusters in the cloud.Each pattern is designed to help solve common challenges faced when building distributed machine learning systems, including supporting distributed model training, handling unexpected failures, and dynamic model serving traffic.Real-world scenarios provide clear examples of how to apply each pattern, alongside the potential trade offs for each approach.Once you've mastered these cutting edge techniques, you'll put them all into practice and finish up by building a comprehensive distributed machine learning system.
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Teachers Learning : Professional Development and Education
A collaborative series with the University of Cambridge Faculty of Education highlighting leading-edge research across Teacher Education, International Education Reform and Language Education. Teachers Learning focuses on continuing teacher's professional development through accounts of recent enquiries.From presenting evidence and arguments about the teacher's role and profession, knowledge and knowledge creation, other organisations in the educational landscape, issues of power, status and development, this book highlights the crucial importance and effectiveness of teachers' learning benefitting pupils and classroom learning.
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What knitting patterns or crochet patterns are there?
There are countless knitting and crochet patterns available, ranging from simple scarves and hats to intricate sweaters and blankets. Some popular knitting patterns include cable knit, lace, and fair isle, while common crochet patterns include granny squares, amigurumi, and filet crochet. Additionally, there are patterns for accessories like socks and mittens, as well as home decor items such as pillows and throws. With the wide variety of patterns available, crafters of all skill levels can find something to suit their interests and abilities.
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Can someone explain the development of dietary patterns in biology?
Dietary patterns in biology have developed over time as a result of various factors such as evolutionary changes, environmental influences, and cultural practices. Early humans had a diet mainly consisting of fruits, vegetables, and lean meats obtained through hunting and gathering. As societies evolved, agriculture and domestication of animals led to the inclusion of grains, dairy, and other food sources in the human diet. Additionally, globalization and technological advancements have further influenced dietary patterns, leading to the consumption of processed foods and a shift towards more sedentary lifestyles. Overall, the development of dietary patterns in biology is a complex interplay of biological, environmental, and cultural factors.
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What are interference patterns?
Interference patterns are a phenomenon that occurs when two or more waves overlap and interact with each other. This interaction results in the waves either reinforcing each other (constructive interference) or canceling each other out (destructive interference). The resulting pattern is a series of alternating bright and dark bands, which can be observed in various wave phenomena such as light, sound, and water waves. Interference patterns are a key concept in understanding wave behavior and are used in various applications such as in interferometry and diffraction.
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What are resulting patterns?
Resulting patterns are the observable outcomes or trends that emerge from a particular set of circumstances or actions. These patterns can be seen in various aspects of life, such as behavior, nature, or data. By analyzing resulting patterns, we can gain insights into underlying processes, make predictions, or understand the impact of certain factors on a system. Identifying resulting patterns can help us make informed decisions and better navigate complex situations.
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Design Patterns of Deep Learning with TensorFlow : Building a customer hyper-personalisation ecosystem using deep learning design patterns
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Bach Perspectives, Volume 14 : Bach and Mozart: Connections, Patterns, and Pathways
Today, the names Bach and Mozart are mostly associated with Johann Sebastian Bach and Wolfgang Amadeus Mozart.But this volume of Bach Perspectives offers essays on the lesser-known musical figures who share those illustrious names alongside new research on the legendary composers themselves.Topics include the keyboard transcriptions of J. S. Bach and Johann Gottfried Walther; J. S. Bach and W. A. Mozart's freelance work; the sonatas of C. P. E. Bach and Leopold Mozart; the early musical training given J.C. Bach by his father and half-brother; the surprising musical similarities between J.C. Bach and W. A. Mozart; and the latest documentary research on Mozart’s 1789 visit to the Thomasschule in Leipzig.An official publication of the American Bach Society, Bach Perspectives, Volume 14 draws on a variety of approaches and a broad range of subject matter in presenting a new wave of innovative classical musical scholarship. Contributors: Eleanor Selfridge-Field, Yoel Greenberg, Noelle M.Heber, Michael Maul, Stephen Roe, and David Schulenberg
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The Cosmic Dance : Finding patterns and pathways in a chaotic universe
A visual journey from the minute to the infinite, exploring the relationships and harmonies between all parts of the universe and inspiring personal contemplation regarding our own place within it. In The Cosmic Dance, renowned image alchemist Stephen Ellcock presents a pan-global collection of remarkable, arresting and surprising images drawn from the entire history of art to explore the ancient belief that the cosmos is reflected in all living things. Organized thematically, the visual journey begins with the microscopic, the particulate and the elemental; then explores the human body as a cosmos in miniature, the beauty of divine proportions and our search for spiritual enlightenment; before finally revelling in the colossal, the celestial and the infinite. An eloquent introduction provides an overview of the central themes and expert commentaries introduce each section.Detailed panels provide bitesize information on key concepts and key thinkers – from the four elements to Cosmic Man and from the möbius strip to the Mandelbrot set – while thought-provoking quotations from philosophers, writers, artists and scientists interspersed throughout the artworks prompt a closer, more personal engagement with the images.This stunning treasury of artworks provides the perfect guide to a deeper contemplation of the world around us, allowing readers, in the words of William Blake, to ‘see a world in a grain of sand, and a heaven in a wild flower, hold infinity in the palm of your hand, and eternity in an hour’.
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PHP 8 Objects, Patterns, and Practice : Mastering OO Enhancements, Design Patterns, and Essential Development Tools
Learn how to develop elegant and rock-solid systems using PHP, aided by three key elements: object fundamentals, design principles, and best practices.The 6th edition of this popular book has been fully updated for PHP 8, including attributes, constructor property promotion, new argument and return pseudo-types, and more.It also covers many features new since the last edition including typed properties, the null coalescing operator, and void return types.This book provides a solid grounding in PHP's support for objects, it builds on this foundation to instill core principles of software design and then covers the tools and practices needed to develop, test, and deploy robust code. PHP 8 Objects, Patterns, and Practice begins by covering PHP's object-oriented features.It introduces key topics including class declarations, inheritance, and reflection.The next section is devoted to design patterns. It explains the principles that make patterns powerful.You’ll cover many of the classic design patterns including enterprise and database patterns.The last segment of the book covers the tools and practices that can help turn great code into a successful project.The section shows how to manage multiple developers and releases with git, and how to manage builds and dependencies with Composer.It also explores strategies for automated testing and continuous integration. After reading and using this book, you will have mastered object-oriented enhancements, design patterns, and the essential development tools available for PHP 8.What You Will LearnWork with object fundamentals: write classes and methods, instantiate objects, and create powerful class hierarchies using inheritance Master advanced object-oriented features, including static methods and properties, managing error conditions with exceptions, and creating abstract classes and interfaces Understand and use design principles to deploy objects and classes effectively in your projectsDiscover a set of powerful patterns that you can implement in your own projectsGuarantee a successful project including unit testing; version control and build, installation, and package management; and continuous integration Who This Book Is ForAnyone with at least a basic knowledge of PHP who wants to use its object-oriented features in their projects.It is also for PHP coders who want to learn about the practices and tools (version control, testing, continuous integration, etc) that can make projects safe, elegant and stable.
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What are geometric patterns?
Geometric patterns are repetitive designs or motifs that are created using geometric shapes such as lines, circles, triangles, squares, and other geometric elements. These patterns can be found in various forms of art, architecture, textiles, and nature. Geometric patterns are characterized by their symmetry, order, and precision, and they are often used to create visually appealing and harmonious compositions.
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What are design patterns?
Design patterns are reusable solutions to common problems that arise during software development. They provide a way to standardize and communicate best practices in software design and architecture. By using design patterns, developers can create more maintainable, flexible, and scalable code. Design patterns are not specific to a particular programming language or technology, making them widely applicable across different software development contexts.
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What are behavioral patterns?
Behavioral patterns refer to the recurring ways in which individuals or groups of people behave in certain situations. These patterns can include habits, routines, reactions, and responses to various stimuli. They are often influenced by a combination of internal factors such as personality, emotions, and beliefs, as well as external factors such as social norms, cultural influences, and environmental conditions. By recognizing and understanding behavioral patterns, individuals can gain insight into their own actions and those of others, and can potentially make positive changes to their behavior.
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Why can there be tensions between lifestyles, consumption patterns, and sustainable development?
There can be tensions between lifestyles, consumption patterns, and sustainable development because many current lifestyles and consumption patterns are based on the exploitation of natural resources and the production of waste, which are not sustainable in the long term. Additionally, different cultural, economic, and social factors can lead to varying levels of consumption and different attitudes towards sustainable development. This can create conflicts between those who prioritize sustainable practices and those who prioritize convenience and consumption. Furthermore, the unequal distribution of resources and wealth can also contribute to tensions, as some groups may have more access to sustainable options than others.
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