This quick guide to regular expressions is a condensed code and syntax reference for an important programming technique. It demonstrates regex syntax in a well-organized format that can be used as a handy reference, showing you how to execute regexes in many languages, including JavaScript, Python, Java, and C#.
The Regex Quick Syntax Reference features short, focused code examples that show you how to use regular expressions to validate user input, split strings, parse input, and match patterns. Utilizing regular expressions to deal with search/replace and filtering data for backend coding is also covered.
You won’t find any bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a language reference that is concise and highly accessible. The book is packed with useful information and is a must-have for any programmer.
What You Will Learn
Formulate an expressionWork with arbitrary char classes, disjunctions, and operator precedenceExecute regular expressions and visualize using finite state machinesDeal with modifiers, including greedy and lazy loops Handle substring extraction from regex using Perl 6 capture groups, capture substrings, and reuse substrings
Who This Book Is For
If you have dealt with at least one programming language, chances are you know enough to understand regular expressions, and the examples in this book will help you develop proficiency.
Автор: Stefan Axelsson; David Sands Название: Understanding Intrusion Detection through Visualization ISBN: 1441939067 ISBN-13(EAN): 9781441939067 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computer security - the protection of data and computer systems from intentional, malicious intervention - is attracting increasing attention. This book analyzes the false alarm problem, then applies results from the field of information visualization to the problem of intrusion detection.
Автор: Ahmed Elgammal; Bodo Rosenhahn; Reinhard Klette Название: Human Motion - Understanding, Modeling, Capture and Animation ISBN: 3540757023 ISBN-13(EAN): 9783540757023 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the Second Workshop on Human Motion, HumanMotion 2007, held in Rio de Janeiro, Brazil October 20, 2007 in conjunction with ICCV 2007. This book presents 22 revised full papers that were reviewed and selected from 38 submissions.
Автор: Bongers Название: Understanding Interaction ISBN: 1482228629 ISBN-13(EAN): 9781482228625 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Understanding Interaction is a book that explores the interaction between people and technology, in the broader context of the relations between the human-made and the natural environments.
Автор: Chetouani Название: Human Behavior Understanding ISBN: 3319468421 ISBN-13(EAN): 9783319468426 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 7th International Workshop on Human Behavior Understanding, HBU 2016, held in Amsterdam, The Netherlands, in October 2016. The 10 full papers were carefully reviewed and selected from 17 initial submissions. They are organized in topical sections named: behavior analysis during play;
Автор: Hyun Soo Park; Albert Ali Salah; Yong Jae Lee; Lou Название: Human Behavior Understanding ISBN: 3319118382 ISBN-13(EAN): 9783319118383 Издательство: Springer Рейтинг: Цена: 5590.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 5th International Workshop on Human Behavior Understanding, HBU 2014, held in Zurich, Switzerland, in September 2014. The 9 full papers presented in this volume were carefully reviewed and selected from 18 submissions. They are organized in topical sections named: social signals;
Автор: Paolo Spagnolo; Pier Luigi Mazzeo; Cosimo Distante Название: Human Behavior Understanding in Networked Sensing ISBN: 3319108069 ISBN-13(EAN): 9783319108063 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a broad overview of both the technical challenges in sensor network development, and the real-world applications of distributed sensing.
Автор: Albert Ali Salah; Ben J.A. Kr?se; Diane J. Cook Название: Human Behavior Understanding ISBN: 331924194X ISBN-13(EAN): 9783319241944 Издательство: Springer Рейтинг: Цена: 5590.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 6th International Workshop on Human Behavior Understanding, HBU 2015, held in Osaka, Japan, in September 2015. The 11 full papers were carefully reviewed and selected from 15 initial submissions.
Описание: Cognitive issues in HCI.- Measuring and monitoring cognition.- Cognitive issues in complex environments.- Productivity.- Creativity.- Learning and collaboration.
Автор: Albert Ali Salah; Hayley Hung; Oya Aran; Hatice Gu Название: Human Behavior Understanding ISBN: 3319027131 ISBN-13(EAN): 9783319027135 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 4th International Workshop on Human Behavior Understanding, HBU 2013, held in Barcelona, Spain, in October 2013. The papers are grouped in topical sections on: behaviour and affect in arts, creativity, entertainment, and edutainment applications;
Описание: Do you want to learn how ML and AI can be applied in practice and be compatible with human behavior in modern times? If yes, then keep reading...
Machine learning (ML) is a data-driven approach. Hence it implies the availability of large datasets in order to make accurate decisions. In case only a limited dataset is available to solve a particular problem, it is best to use a deterministic approach. When a limited dataset is available it is hard to train a machine learning model and generalize its applicability to other similar problems. The developed model, in this case, is only applicable for the few data it was trained on.
Because ML methods rely solely only on data and the human expertise or judgment is not taken in consideration, it is the data that dictate if the machine learning method will fail or succeed to perform the task it was designed for. The way a machine learning approach works is that a modeler develops a learning algorithm. Then the modeler feeds the learning algorithm with the data and information.
The algorithm learns by itself from the data with no guidance or human interference. It is the algorithm that builds the system. If the data provided for the algorithm is of poor quality and biased then the system is also of poor quality and biased. Hence, cleaning and acquiring the right data to solve a problem with ML problem is very crucial. If the data are biased and noisy it is better to stick with a traditional method. Otherwise, the machine learning method will memorize the noise and provide inaccurate results.
Could Turning Important Decisions over to AI help Humanity? Some might say that's a terrible idea, but how much worse is it today where we've turned over our societies and civilizations to corrupt leadership, crony capitalism, or had to deal with rogue nation-states in other parts of the world with two-bit dictators, religious fanaticism, or the quest to destroy another group of peoples' civilization? Perhaps it's time we came up with a special think tank that could go through all the issues concerning our fears, and what we hope to expect from AI decision-making machines. That is to say how to get the best possible answer, all the time with the greatest probability.
We all watched IBM's "Watson" supercomputer as it won against the top human Jeopardy players. It did pretty well, most all the time; didn't it? Yes, but it wasn't perfect, and perhaps that's the scary part. In fact, some of the mistakes that it did make were mistakes that even a child wouldn't have missed. Still, if there is a group of humans or a think tank, focus group, or Board of Directors constantly surveying the answers and asking additional questions, then perhaps you don't have to worry about an erroneous answer now and again. In fact, it might make you smile and feel good to be a human at that point.
ML is useful anywhere you need to recognize patterns and predict behavior based on historical data. Recognizing patterns could mean anything from character recognition to predictive maintenance to recommending products to customers based on past purchases.
This book gives a comprehensive guide on the following:
Correlation Between ML and Artificial Learning
The Era of Evolution
ML and AI in Practice
Self-Driving Cars
Robots and How they will Change Our Lives
ML, AI and IoT
Ethics of AI
AI and Privacy
Is Artificial Intelligence Dangerous?
Will Humans and Artificial Intelligence Live Together in the Future?
... AND MORE
Wake up and order your copy. Click buy now
Автор: Richa Singh; Mayank Vatsa; Vishal M Patel; Nalini Название: Domain Adaptation for Visual Understanding ISBN: 3030306704 ISBN-13(EAN): 9783030306700 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field.
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