Patterns in Nature

Patterns in Nature
Author: Philip Ball
Publisher: University of Chicago Press
Total Pages: 289
Release: 2016-04-05
Genre: Photography
ISBN: 022633256X
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The acclaimed science writer “curates a visually striking, riotously colorful photographic display…of physical patterns in the natural world” (Publishers Weekly, starred review). Though at first glance the natural world may appear overwhelming in its diversity and complexity, there are regularities running through it, from the hexagons of a honeycomb to the spirals of a seashell and the branching veins of a leaf. Revealing the order at the foundation of the seemingly chaotic natural world, Patterns in Nature explores not only the math and science but also the beauty and artistry behind nature’s awe-inspiring designs. Unlike the patterns we create, natural patterns are formed spontaneously from the forces that act in the physical world. Very often the same types of pattern and form—such as spirals, stripes, branches, and fractals—recur in places that seem to have nothing in common, as when the markings of a zebra mimic the ripples in windblown sand. But many of these patterns can be described using the same mathematical and physical principles, giving a surprising unity to the kaleidoscope of the natural world. Richly illustrated with 250 color photographs and anchored by accessible and insightful chapters by esteemed science writer Philip Ball, Patterns in Nature reveals the organization at work in vast and ancient forests, powerful rivers, massing clouds, and coastlines carved out by the sea. By exploring similarities such as the branches of a tree and those of a river network, this spectacular visual tour conveys the wonder, beauty, and richness of natural pattern formation.

National Geographic Kids Look and Learn: Match!

National Geographic Kids Look and Learn: Match!
Author: National Geographic Society (U.S.)
Publisher: National Geographic Books
Total Pages: 24
Release: 2011
Genre: Juvenile Nonfiction
ISBN: 142630871X
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Pictures and vocabulary present sets for you to choose ones that are alike.

Deep Learning Patterns and Practices

Deep Learning Patterns and Practices
Author: Andrew Ferlitsch
Publisher: Simon and Schuster
Total Pages: 755
Release: 2021-10-12
Genre: Computers
ISBN: 163835667X
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Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks Procedural reuse design pattern for CNN architectures Models for mobile and IoT devices Assembling large-scale model deployments Optimizing hyperparameter tuning Migrating a model to a production environment The big challenge of deep learning lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Patterns and Practices is here to help. This unique guide lays out the latest deep learning insights from author Andrew Ferlitsch’s work with Google Cloud AI. 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. Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Discover best practices, design patterns, and reproducible architectures that will guide your deep learning projects from the lab into production. This awesome book collects and illuminates the most relevant insights from a decade of real world deep learning experience. You’ll build your skills and confidence with each interesting example. About the book Deep Learning Patterns and Practices is a deep dive into building successful deep learning applications. You’ll save hours of trial-and-error by applying proven patterns and practices to your own projects. Tested code samples, real-world examples, and a brilliant narrative style make even complex concepts simple and engaging. Along the way, you’ll get tips for deploying, testing, and maintaining your projects. What's inside Modern convolutional neural networks Design pattern for CNN architectures Models for mobile and IoT devices Large-scale model deployments Examples for computer vision About the reader For machine learning engineers familiar with Python and deep learning. About the author Andrew Ferlitsch is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. Table of Contents PART 1 DEEP LEARNING FUNDAMENTALS 1 Designing modern machine learning 2 Deep neural networks 3 Convolutional and residual neural networks 4 Training fundamentals PART 2 BASIC DESIGN PATTERN 5 Procedural design pattern 6 Wide convolutional neural networks 7 Alternative connectivity patterns 8 Mobile convolutional neural networks 9 Autoencoders PART 3 WORKING WITH PIPELINES 10 Hyperparameter tuning 11 Transfer learning 12 Data distributions 13 Data pipeline 14 Training and deployment pipeline

My First Book of Patterns

My First Book of Patterns
Author: Bobby George
Publisher: Phaidon Press
Total Pages: 0
Release: 2017-09-18
Genre: Juvenile Nonfiction
ISBN: 9780714872490
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Have you learned your colors and shapes? Now it's time to learn patterns! Stripes, polka dots, plaid, chevron, and more are featured in this first-ever patterns concept book that provides readers with the vocabulary to name what they see in the world around them. The ten most prevalent patterns are presented first as a single element (This is a circle ...), then as a pattern (... a lot of circles make polka dots!). Conceived by educators and illustrated in vivid candy-colored hues, this pitch-perfect introduction to patterns will engage the artistic, mathematical, and linguistic parts of every young child's mind.

Search Patterns

Search Patterns
Author: Peter Morville
Publisher: "O'Reilly Media, Inc."
Total Pages: 195
Release: 2010-01-14
Genre: Computers
ISBN: 1449383068
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What people are saying about Search Patterns "Search Patterns is a delight to read -- very thoughtful and thought provoking. It's the most comprehensive survey of designing effective search experiences I've seen." --Irene Au, Director of User Experience, Google "I love this book! Thanks to Peter and Jeffery, I now know that search (yes, boring old yucky who cares search) is one of the coolest ways around of looking at the world." --Dan Roam, author, The Back of the Napkin (Portfolio Hardcover) "Search Patterns is a playful guide to the practical concerns of search interface design. It contains a bonanza of screenshots and illustrations that capture the best of today's design practices and presents a fresh perspective on the broader role of search and discovery." --Marti Hearst, Professor, UC Berkeley and author, Search User Interfaces (Cambridge University Press) "It's not often I come across a book that asks profound questions about a fundamental human activity, and then proceeds to answer those questions with practical observations and suggestions. Search Patterns is an expedition into the heart of the web and human cognition, and for me it was a delightful journey that delivered scores of insights." --Dave Gray, Founder and Chairman, XPLANE "Search is swiftly transforming everything we know, yet people don't understand how mavens design search: by stacking breadcrumbs, scenting widgets, and keeping eyeballs on the engine. I urge you to put your eyeballs on this unique and important book." --Bruce Sterling, Writer, Futurist, and Co-Founder, The Electronic Frontier Foundation "As one who searches a lot (and often ends up frustrated), Search Patterns is a revelation." --Nigel Holmes, Designer, Theorist, and Principal, Explanation Graphics "Search Patterns is a fabulous must-have book! Inside, you'll learn the whys and wheres of practically every modern search design trick and technique." --Jared Spool, CEO and Founder, User Interface Engineering Search is among the most disruptive innovations of our time. It influences what we buy and where we go. It shapes how we learn and what we believe. In this provocative and inspiring book, you'll explore design patterns that apply across the categories of web, ecommerce, enterprise, desktop, mobile, social, and real-time search and discovery. Filled with colorful illustrations and examples, Search Patterns brings modern information retrieval to life, covering such diverse topics as relevance, faceted navigation, multi-touch, personalization, visualization, multi-sensory search, and augmented reality. By drawing on their own experience-as well as best practices and evidence-based research-the authors not only offer a practical guide to help you build effective search applications, they also challenge you to imagine the future of discovery. You'll find Search Patterns intriguing and invaluable, whether you're a web practitioner, mobile designer, search entrepreneur, or just interested in the topic. Discover a pattern language for search that embraces user psychology and behavior, information architecture, interaction design, and emerging technology Boost enterprise efficiency and e-commerce sales Enable mobile users to achieve goals, complete tasks, and find what they need Drive design innovation for search interfaces and applications

Distributed Machine Learning Patterns

Distributed Machine Learning Patterns
Author: Yuan Tang
Publisher: Manning
Total Pages: 375
Release: 2022-04-26
Genre: Computers
ISBN: 9781617299025
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Practical patterns for scaling machine learning from your laptop to a distributed cluster. 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Patterns, Predictions, and Actions: Foundations of Machine Learning

Patterns, Predictions, and Actions: Foundations of Machine Learning
Author: Moritz Hardt
Publisher: Princeton University Press
Total Pages: 321
Release: 2022-08-23
Genre: Computers
ISBN: 0691233721
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An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. Provides a modern introduction to machine learning, showing how data patterns support predictions and consequential actions Pays special attention to societal impacts and fairness in decision making Traces the development of machine learning from its origins to today Features a novel chapter on machine learning benchmarks and datasets Invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra An essential textbook for students and a guide for researchers

Metric Pattern Cutting for Women's Wear

Metric Pattern Cutting for Women's Wear
Author: Winifred Aldrich
Publisher: John Wiley & Sons
Total Pages: 255
Release: 2015-01-22
Genre: Design
ISBN: 1119028280
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Metric Pattern Cutting for Women's Wear provides a straightforward introduction to the principles of form pattern cutting for garments to fit the body shape, and flat pattern cutting for casual garments and jersey wear. This sixth edition remains true to the original concept: it offers a range of good basic blocks, an introduction to the basic principles of pattern cutting and examples of their application into garments. Fully revised and updated to include a brand new and improved layout, up-to-date skirt and trouser blocks that reflect the changes in body sizing, along with updates to the computer-aided design section and certain blocks, illustrations and diagrams. This best-selling textbook still remains the essential purchase for students and beginners looking to understand pattern cutting and building confidence to develop their own pattern cutting style.

Design Patterns Explained

Design Patterns Explained
Author: Alan Shalloway
Publisher: Pearson Education
Total Pages: 449
Release: 2004-10-12
Genre: Computers
ISBN: 0321630041
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"One of the great things about the book is the way the authors explain concepts very simply using analogies rather than programming examples–this has been very inspiring for a product I'm working on: an audio-only introduction to OOP and software development." –Bruce Eckel "...I would expect that readers with a basic understanding of object-oriented programming and design would find this book useful, before approaching design patterns completely. Design Patterns Explained complements the existing design patterns texts and may perform a very useful role, fitting between introductory texts such as UML Distilled and the more advanced patterns books." –James Noble Leverage the quality and productivity benefits of patterns–without the complexity! Design Patterns Explained, Second Edition is the field's simplest, clearest, most practical introduction to patterns. Using dozens of updated Java examples, it shows programmers and architects exactly how to use patterns to design, develop, and deliver software far more effectively. You'll start with a complete overview of the fundamental principles of patterns, and the role of object-oriented analysis and design in contemporary software development. Then, using easy-to-understand sample code, Alan Shalloway and James Trott illuminate dozens of today's most useful patterns: their underlying concepts, advantages, tradeoffs, implementation techniques, and pitfalls to avoid. Many patterns are accompanied by UML diagrams. Building on their best-selling First Edition, Shalloway and Trott have thoroughly updated this book to reflect new software design trends, patterns, and implementation techniques. Reflecting extensive reader feedback, they have deepened and clarified coverage throughout, and reorganized content for even greater ease of understanding. New and revamped coverage in this edition includes Better ways to start "thinking in patterns" How design patterns can facilitate agile development using eXtreme Programming and other methods How to use commonality and variability analysis to design application architectures The key role of testing into a patterns-driven development process How to use factories to instantiate and manage objects more effectively The Object-Pool Pattern–a new pattern not identified by the "Gang of Four" New study/practice questions at the end of every chapter Gentle yet thorough, this book assumes no patterns experience whatsoever. It's the ideal "first book" on patterns, and a perfect complement to Gamma's classic Design Patterns. If you're a programmer or architect who wants the clearest possible understanding of design patterns–or if you've struggled to make them work for you–read this book.

Patterns in Art

Patterns in Art
Author: Francesca Leoneschi
Publisher: National Geographic Books
Total Pages: 0
Release: 2019-11-12
Genre: Art
ISBN: 0789213400
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A visual delight, and a designer's dream—the decorative details of great European paintings transformed into beautiful two-dimensional patterns Richly embroidered robes. Intricate lace collars. Elaborately laid floor tiles. Delicately carved and modeled cornices and capitals. These are among the details of decorative art that the Old Masters lovingly rendered in their paintings, to establish a setting, convey a portrait subject's social status, or sometimes just enliven a scene. Together these details—so easy to overlook in the imposing harmony of draftsmanship, color, and composition that makes up a great painting—form a veritable history of ornament. This inventive book plucks these decorative motifs from the background of paintings by masters like Bronzino, Fra Angelico and Jacques-Louis David, and transforms them into vibrant two-dimensional patterns. Seeing these patterns side-by-side with the original paintings deepens our appreciation of both. Patterns in Art will be a resource for graphic designers, and a revelation for all art lovers.