Learning Patterns
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Machine Learning Design Patterns
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Author : Valliappa Lakshmanan
language : en
Publisher: O'Reilly Media
Release Date : 2020-10-15
Machine Learning Design Patterns written by Valliappa Lakshmanan and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-15 with Computers categories.
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure models are treating users fairly
Learning Javascript Design Patterns
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Author : Addy Osmani
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-07-08
Learning Javascript Design Patterns written by Addy Osmani and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-08 with Computers categories.
With Learning JavaScript Design Patterns, you’ll learn how to write beautiful, structured, and maintainable JavaScript by applying classical and modern design patterns to the language. If you want to keep your code efficient, more manageable, and up-to-date with the latest best practices, this book is for you. Explore many popular design patterns, including Modules, Observers, Facades, and Mediators. Learn how modern architectural patterns—such as MVC, MVP, and MVVM—are useful from the perspective of a modern web application developer. This book also walks experienced JavaScript developers through modern module formats, how to namespace code effectively, and other essential topics. Learn the structure of design patterns and how they are written Understand different pattern categories, including creational, structural, and behavioral Walk through more than 20 classical and modern design patterns in JavaScript Use several options for writing modular code—including the Module pattern, Asyncronous Module Definition (AMD), and CommonJS Discover design patterns implemented in the jQuery library Learn popular design patterns for writing maintainable jQuery plug-ins "This book should be in every JavaScript developer’s hands. It’s the go-to book on JavaScript patterns that will be read and referenced many times in the future."—Andrée Hansson, Lead Front-End Developer, presis!
Distributed Machine Learning Patterns
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Author : Yuan Tang
language : en
Publisher: Manning
Release Date : 2022-04-26
Distributed Machine Learning Patterns written by Yuan Tang and has been published by Manning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-26 with Computers categories.
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.
Deep Learning Design Patterns
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Author : Andrew Ferlitsch
language : en
Publisher: Manning Publications
Release Date : 2021-05-25
Deep Learning Design Patterns written by Andrew Ferlitsch and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-25 with Computers categories.
Deep Learning Design Patterns distills models from the latest research papers into practical design patterns applicable to enterprise AI projects. You'll learn how to integrate design patterns into deep learning systems from some amazing examples, using diagrams, code samples, and easy-to-understand language. 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. Deep Learning Design Patterns distills models from the latest research papers into practical design patterns applicable to enterprise AI projects. You'll learn how to integrate design patterns into deep learning systems from some amazing examples, using diagrams, code samples, and easy-to-understand language. 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Holub On Patterns
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Author : Allen Holub
language : en
Publisher: Apress
Release Date : 2004-09-27
Holub On Patterns written by Allen Holub and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-27 with Computers categories.
The existing books on design patterns take a catalog approach, where they show the individual design patterns in isolation. This approach is fundamentally flawed, because you can't see how the design patterns actually function in the real world. Most programmers learn by looking at computer programs. Holub on Patterns: Learning Design Patterns by Looking at Code teaches you design patterns in exactly this way: by looking at computer programs and analyzing them in terms of the patterns that they use. Consequently, you learn how the patterns actually occur in the real world and how to apply the patterns to solve real problems. This book also looks at the broader context of object-oriented (OO) design and how patterns solve commonplace OO design problems. It covers many of the principles of OO design—principles not covered by most books on Java—and shows you how to apply these principles to make your code easier to maintain and debug.
Patterns Predictions And Actions
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Author : Moritz Hardt
language : en
Publisher: Princeton University Press
Release Date : 2022-08-23
Patterns Predictions And Actions written by Moritz Hardt and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-23 with Computers categories.
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
Learning Patterns In Higher Education
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Author : David Gijbels
language : en
Publisher: Routledge
Release Date : 2013-09-11
Learning Patterns In Higher Education written by David Gijbels and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-11 with Education categories.
Learning Patterns in Higher Education brings together a cutting edge international team of contributors to critically review our current understanding of how students and adults learn, how differences and changes in the way students learn can be measured in a valid and reliable way, and how the quality of student learning may be enhanced. There is substantial evidence that students in higher education have a characteristic way of learning, sometimes called their learning orientation (Biggs 1988), learning style (Evans et al. 2010) or learning pattern (Vermunt and Vermetten 2004). However, recent research in the field of student learning has resulted in multi-faceted and sometimes contradictory results which may reflect conceptual differences and differences in measurement of student learning in each of the studies. This book deals with the need for further clarification of how students learn in higher education in the 21st century and to what extent the measurements often used in learning pattern studies are still up to date or can be advanced with present methodological and statistical insights to capture the most important differences and changes in student learning. The contributions in the book are organized in two parts: a first conceptual and psychological part in which the dimensions of student learning in the 21st century are discussed and a second empirical part in which questions related to how students’ learning can be measured and how it develops are considered. Areas covered include: Cultural influences on learning patterns Predicting learning outcomes Student centred learning environments and self-directed learning Mathematics learning This indispensable book covers multiple conceptual perspectives on how learning patterns can be described and effects and developments can be measured, and will not only be helpful for ‘learning researchers’ as such but also for educational researchers from the broad domain of educational psychology, motivation psychology and instructional sciences, who are interested in student motivation, self-regulated learning, effectiveness of innovative learning environments, as well as assessment and evaluation of student characteristics and learning process variables.
Learning Patterns A Pattern Language For Creative Learning
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Author : Takashi Iba
language : en
Publisher: Lulu.com
Release Date : 2014-09-04
Learning Patterns A Pattern Language For Creative Learning written by Takashi Iba and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-04 with Education categories.
In Creative Learning, learner creates opportunities for learning by himself/herself by launching and implementing his/her own project, and learn through actively creating with others. How can such a Creative Learning be achieved? The secrets are scribed in this book. Learning Patterns presents 40 distinct patterns that show tips, methods, and views for a Creative Learning. The Learning Patterns are written as a pattern language that summarizes the design knowledge that develops from a person's experience into the form of a pattern. It pairs a problem that occurs in a certain context of a design with its solution and gives it a name. Read through the pages and use any or all of the Learning Patterns to make your learning more creative!
Investigations Of E Learning Patterns Context Factors Problems And Solutions
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Author : Kohls, Christian
language : en
Publisher: IGI Global
Release Date : 2010-12-31
Investigations Of E Learning Patterns Context Factors Problems And Solutions written by Kohls, Christian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-31 with Education categories.
"This book addresses e-learning patterns in software development, providing an accessible language to communicate sophisticated knowledge and important research methods and results"--Provided by publisher.
Learning Php Design Patterns
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Author : William Sanders
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-02-11
Learning Php Design Patterns written by William Sanders and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-11 with Computers categories.
Build server-side applications more efficiently—and improve your PHP programming skills in the process—by learning how to use design patterns in your code. This book shows you how to apply several object-oriented patterns through simple examples, and demonstrates many of them in full-fledged working applications. Learn how these reusable patterns help you solve complex problems, organize object-oriented code, and revise a big project by only changing small parts. With Learning PHP Design Patterns, you’ll learn how to adopt a more sophisticated programming style and dramatically reduce development time. Learn design pattern concepts, including how to select patterns to handle specific problems Get an overview of object-oriented programming concepts such as composition, encapsulation, polymorphism, and inheritance Apply creational design patterns to create pages dynamically, using a factory method instead of direct instantiation Make changes to existing objects or structure without having to change the original code, using structural design patterns Use behavioral patterns to help objects work together to perform tasks Interact with MySQL, using behavioral patterns such as Proxy and Chain of Responsibility Explore ways to use PHP’s built-in design pattern interfaces