Learning Patterns

Learning Patterns
Author :
Publisher : Patterns.dev
Total Pages : 436
Release :
ISBN-10 :
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Learning Patterns by : Lydia Hallie

Download or read book Learning Patterns written by Lydia Hallie and published by Patterns.dev. This book was released on 2021-10-31 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, you will learn design patterns, performance and rendering patterns for building high-quality web applications using modern JavaScript and React. Patterns are time-tested templates for writing code. They can be really powerful, whether you're a seasoned developer or beginner, bringing a valuable level of resilience and flexibility to your codebase. Whether it's better user-experience, developer-experience or just smarter architecture, the patterns in “Learning Patterns” can be a valuable consideration for any modern web application.

Machine Learning Design Patterns

Machine Learning Design Patterns
Author :
Publisher : O'Reilly Media
Total Pages : 408
Release :
ISBN-10 : 9781098115753
ISBN-13 : 1098115759
Rating : 4/5 (53 Downloads)

Book Synopsis Machine Learning Design Patterns by : Valliappa Lakshmanan

Download or read book Machine Learning Design Patterns written by Valliappa Lakshmanan and published by O'Reilly Media. This book was released on 2020-10-15 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Learning JavaScript Design Patterns
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 247
Release :
ISBN-10 : 9781449334871
ISBN-13 : 1449334873
Rating : 4/5 (71 Downloads)

Book Synopsis Learning JavaScript Design Patterns by : Addy Osmani

Download or read book Learning JavaScript Design Patterns written by Addy Osmani and published by "O'Reilly Media, Inc.". This book was released on 2012-07-08 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

Holub on Patterns

Holub on Patterns
Author :
Publisher : Apress
Total Pages : 426
Release :
ISBN-10 : 9781430207252
ISBN-13 : 1430207256
Rating : 4/5 (52 Downloads)

Book Synopsis Holub on Patterns by : Allen Holub

Download or read book Holub on Patterns written by Allen Holub and published by Apress. This book was released on 2004-09-27 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Allen Holub is a highly regarded instructor for the University of California, Berkeley, Extension. He has taught since 1982 on various topics, including Object-Oriented Analysis and Design, Java, C++, C. Holub will use this book in his Berkeley Extension classes. * Holub is a regular presenter at the Software Development conferences and is Contributing Editor for the online magazine JavaWorld, for whom he writes the Java Toolbox. He also wrote the OO Design Process column for IBM DeveloperWorks. * This book is not time-sensitive. It is an extremely well-thought out approach to learning design patterns, with Java as the example platform, but the concepts presented are not limited to just Java programmers. This is a complement to the Addison-Wesley seminal "Design Patterns" book by the "Gang of Four".

Learning PHP Design Patterns

Learning PHP Design Patterns
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 363
Release :
ISBN-10 : 9781449344870
ISBN-13 : 1449344879
Rating : 4/5 (70 Downloads)

Book Synopsis Learning PHP Design Patterns by : William Sanders

Download or read book Learning PHP Design Patterns written by William Sanders and published by "O'Reilly Media, Inc.". This book was released on 2013-02-11 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Learning Patterns in Higher Education

Learning Patterns in Higher Education
Author :
Publisher : Routledge
Total Pages : 379
Release :
ISBN-10 : 9781134633524
ISBN-13 : 1134633521
Rating : 4/5 (24 Downloads)

Book Synopsis Learning Patterns in Higher Education by : David Gijbels

Download or read book Learning Patterns in Higher Education written by David Gijbels and published by Routledge. This book was released on 2013-09-11 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Distributed Machine Learning Patterns

Distributed Machine Learning Patterns
Author :
Publisher : Manning
Total Pages : 375
Release :
ISBN-10 : 1617299022
ISBN-13 : 9781617299025
Rating : 4/5 (22 Downloads)

Book Synopsis Distributed Machine Learning Patterns by : Yuan Tang

Download or read book Distributed Machine Learning Patterns written by Yuan Tang and published by Manning. This book was released on 2022-04-26 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.