Learning Yii Testing
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Learning Yii Testing
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Author : Matteo Pescarin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-04-28
Learning Yii Testing written by Matteo Pescarin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-28 with Computers categories.
Developers who have a solid pre-existing knowledge of Yii's core concepts will find this book an ideal introduction to learning to write tests using Yii 2's tools. You'll learn to create faster and more reliable applications with less time and effort.
Mastering Yii
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Author : Charles R. Portwood II
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-01-28
Mastering Yii written by Charles R. Portwood II and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-28 with Computers categories.
Advance your modern web application development skills with Yii Framework 2 About This Book Learn to work with the key aspects of Yii Framework 2 Explore how to create RESTful APIs with Yii Incorporate codeception with Yii2 to test your code thoroughly Who This Book Is For This book is for Yii Framework developers who want to quickly master Yii2. This book assumes some familiarity with Yii2, PHP 5, and HTML5. What You Will Learn Explore Yii2's conventions and learn how to properly configure Yii2 Create both web and console applications Reduce development time by learning to create classes automatically with Gii, Yii2's automatic code generation tool Use Yii2's database migration tool Manage and access databases with Active Record, DAO, and Query Builder Handle user authentication and authorization within Yii2 Create RESTful APIs with Yii Framework 2 Test applications automatically with codeception In Detail The successor of Yii Framework 1.1, Yii2 is a complete rewrite of Yii Framework, one of the most popular PHP 5 frameworks for making modern web applications. The update embraces the best practices and protocols established with newer versions of PHP, while still maintaining the simple, fast, and extendable behavior found in its predecessor. This book has been written to enhance your skills and knowledge with Yii Framework 2. Starting with configuration and how to initialize new projects, you'll learn how to configure, manage, and use every aspect of Yii2 from Gii, DAO, Query Builder, Active Record, and migrations, to asset manager. You'll also discover how to automatically test your code using codeception. With this book by your side, you'll have all the skills you need to quickly create rich modern web and console applications with Yii2. Style and approach This book is a step-by-step guide to mastering every aspect of Yii Framework 2. Each chapter outlines a new set of tools along with code that can be used to efficiently create modern web and console applications
Learning Yii Testing
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Author : Matteo Pescarin
language : en
Publisher: Packt Publishing
Release Date : 2015-04-30
Learning Yii Testing written by Matteo Pescarin and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-30 with Computers categories.
Yii 1 1 Application Development Cookbook
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Author : Alexander Makarov
language : en
Publisher: Packt Publishing Ltd
Release Date : 2011-08-25
Yii 1 1 Application Development Cookbook written by Alexander Makarov and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-25 with Computers categories.
Over 80 recipes to help you master using the Yii PHP framework.
Global Perspectives And Implementations Of Design Based Research
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Author : Razak, Rafiza Abdul
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Global Perspectives And Implementations Of Design Based Research written by Razak, Rafiza Abdul and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Education categories.
Design-based research (DBR) can be utilized to address complex educational challenges through iterative analysis, design, development, and implementation. Its principles and analysis techniques highlight the effectiveness of DBR in improving educational practices and outcomes with research-based strategies. By promoting evidence-based practices in education, DBR fosters a more integrated approach to educational research that can be used to develop informed and effective policies. Global Perspectives and Implementations of Design-Based Research contributes to the body of knowledge on design-based research by providing a multidisciplinary perspective, showcasing its applicability across various educational settings. The insights gained from the case studies and research findings can inform educational policies and practices, leading to improved educational outcomes at various levels. Covering topics such as mobile applications, digital repositories, and preschool, this book is an excellent resource for teachers, school administrators, higher education faculty, educational practitioners, policymakers, professionals, researchers, scholars, academicians, and more.
Intelligent Data Engineering And Automated Learning
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Author : Jiming Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-07-29
Intelligent Data Engineering And Automated Learning written by Jiming Liu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-29 with Business & Economics categories.
This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.
Yii Application Development Cookbook Second Edition
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Author : Alexander Makarov
language : en
Publisher: Packt Publishing Ltd
Release Date : 2013-04-25
Yii Application Development Cookbook Second Edition written by Alexander Makarov and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-25 with Computers categories.
This book is a collection of Yii recipes with chapters generally independent of each other. It is full of practically useful solutions and concepts explained with code and relevant screenshots and diagrams.This book is for developers with good PHP5 knowledge who have tried to develop applications using Yii. An object-oriented approach and MVC knowledge will be a great advantage as Yii uses these extensively.
Artificial Intelligence Data And Model Safety
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Author : Yu-Gang Jiang
language : en
Publisher: Elsevier
Release Date : 2025-09-01
Artificial Intelligence Data And Model Safety written by Yu-Gang Jiang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-01 with Computers categories.
Artificial Intelligence Data and Model Safety: Risks, Attacks and Defenses begins with a brief review of the history of AI and AI security and then introduces the fundamental aspects of machine learning and AI security. Two key aspects are covered: data safety and modeling. It provides detailed explanations of a wide range of attacks and defense algorithms related to data security, as well as adversarial attack/defense, backdoor attack/defense, and extraction attack/defense algorithms related to model security. By providing a systematic, comprehensive, and in-depth introduction to the topic, this book help readers understand the advanced attack and defense techniques in the field of AI security. - Systematic: comprehensively introduces AI safety, covering both attack and defense technologies - In-depth: covers a broad range of attack and defense strategies from the perspectives of adversarial learning and robust optimization, providing detailed explanations and insights - Includes the latest research developments and state-of-the-art techniques in the field of AI safety
Multiblock Data Fusion In Statistics And Machine Learning
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Author : Age K. Smilde
language : en
Publisher: John Wiley & Sons
Release Date : 2022-05-03
Multiblock Data Fusion In Statistics And Machine Learning written by Age K. Smilde 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 2022-05-03 with Science categories.
Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist. Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on components and latent variables, including both well-known and lesser-known methods with potential applications in different types of problems. Many of the included methods are illustrated by practical examples and are accompanied by a freely available R-package. The distinguished authors have created an accessible and useful guide to help readers fuse data, develop new data fusion models, discover how the involved algorithms and models work, and understand the advantages and shortcomings of various approaches. This book includes: A thorough introduction to the different options available for the fusion of multiple data sets, including methods originating in psychometrics and chemometrics Practical discussions of well-known and lesser-known methods with applications in a wide variety of data problems Included, functional R-code for the application of many of the discussed methods Perfect for graduate students studying data analysis in the context of the natural and life sciences, including bioinformatics, sensometrics, and chemometrics, Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is also an indispensable resource for developers and users of the results of multiblock methods.
Learning From Data
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Author : Doug Fisher
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Learning From Data written by Doug Fisher and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
Ten years ago Bill Gale of AT&T Bell Laboratories was primary organizer of the first Workshop on Artificial Intelligence and Statistics. In the early days of the Workshop series it seemed clear that researchers in AI and statistics had common interests, though with different emphases, goals, and vocabularies. In learning and model selection, for example, a historical goal of AI to build autonomous agents probably contributed to a focus on parameter-free learning systems, which relied little on an external analyst's assumptions about the data. This seemed at odds with statistical strategy, which stemmed from a view that model selection methods were tools to augment, not replace, the abilities of a human analyst. Thus, statisticians have traditionally spent considerably more time exploiting prior information of the environment to model data and exploratory data analysis methods tailored to their assumptions. In statistics, special emphasis is placed on model checking, making extensive use of residual analysis, because all models are 'wrong', but some are better than others. It is increasingly recognized that AI researchers and/or AI programs can exploit the same kind of statistical strategies to good effect. Often AI researchers and statisticians emphasized different aspects of what in retrospect we might now regard as the same overriding tasks.