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Название: Сверхбыстрый Python. Эффективные техники для работы с большими наборами данных
Автор: Тиаго Антао
Издательство: ДМК Пресс
Год: 2023
Страниц: 371
Язык: русский
Формат: pdf
Размер: 11.7 MB

Быстрый код на чистом Python, оптимизированные библиотеки и аппаратное обеспечение, позволяющее использовать все преимущества параллельной обработки данных, – это цена входа в мир машинного обучения и анализа больших данных. Книга, которую вы держите в руках, предлагает уникальные техники ускорения с акцентом на большие данные и станет вашим надежным проводником в мир оптимизации решений на базе Python. Вы узнаете, как оптимизировать работу со встроенными структурами данных и ускорить решения за счет конкурентного выполнения, а также научитесь сокращать объем занимаемой данными памяти без ущерба для их точности. Ознакомившись с тщательно проработанными примерами, вы узнаете, как добиться большей производительности популярных библиотек, таких как NumPy и Pandas, и как эффективно обрабатывать и хранить данные. Эта книга рассчитана на программистов с определенным опытом. Читая содержание книги, вы должны быть более или менее знакомы с большинством упоминающихся в нем технологий. А если вам довелось поработать с какими-то из них, вообще прекрасно. За исключением разделов, посвященных библиотекам ввода-вывода и вычислениям с помощью GPU, мы не будем сильно вдаваться в описание базовых вещей, а будем полагаться на то, что вы их и так знаете. Если в настоящее время вы пишете код и думаете о том, как сделать его максимально эффективным, эта книга точно для вас.

Название: Computer Games Technology
Автор: Jovan Pehcevski
Издательство: Arcler Press
Год: 2022
Страниц: 542
Язык: английский
Формат: pdf (true)
Размер: 15.5 MB

This book covers different topics from computer gaming technology, including educational and simulation games, games hardware, games software, and computer games for social and health purposes. Several important aspects should be treated when developing a new game, which are: game development and programming (Unity, C++, C#, Java), visual appearance and user experience design (UX design using GameMaker, Unreal Engine, Godot, Blender etc.), and game testing (QA – quality assurance). Section 1 focuses on educational and simulation games, describing SIDH: a game-based architecture for a training simulator, an application of a game development framework in higher education, experiential learning in vehicle dynamics education via motion simulation and interactive gaming, and development of a driving simulator with analyzing driver’s characteristics based on a virtual reality head mounted display.

Название: Software Engineering for Games in Serious Contexts: Theories, Methods, Tools, and Experiences
Автор: Kendra M. L. Cooper, Antonio Bucchiarone
Издательство: Springer
Год: 2023
Страниц: 307
Язык: английский
Формат: pdf (true)
Размер: 22.4 MB

The book highlights several challenges and opportunities in the field of software engineering for serious games. It covers a wide range of topics from game design principles to software architecture, testing, and deployment and is structured into two parts. While Part I delves into various aspects of designing, maintaining, adapting, and evaluating games in serious contexts; Part IIfocuses on the experiences of realizing and using games in serious contexts. One of the primary challenges is to develop effective methods for evaluating serious games and measuring their impact and outcomes. Another challenge is to design serious games that are both engaging and effective, which requires a deep understanding of game design principles and instructional design. The book also emphasizes the need to develop effective software engineering practices for serious game development and the importance of gamification in improving user engagement and motivation. The potential of serious games for addressing societal challenges such as cybersecurity and healthcare is also highlighted. Despite these challenges, the book also identifies several opportunities for the field, including the potential of serious games to provide new and innovative approaches to learning and the potential of serious games to address real-world problems in new and effective ways.

Название: Machine Learning and Biometrics
Автор: Adele Kuzmiakova
Издательство: Arcler Press
Год: 2022
Страниц: 248
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This comprehensive guide provides a detailed overview of modern biometrics, which allows a person to be identified and authenticated based on recognizable, unique, and verifiable data. Biometrics technologies include detection of dormant fingerprints, iris, gait, or facial and voice recognition. Today, biometrics powers cutting-edge security algorithms. Biometrics is used for access into banks, airports or personal smartphones, which means that your money and personal information can be stored safely. Each chapter starts with a comprehensive review of the biometrics technology and its algorithmic description, describes how it works, and outlines all of the applicable and modern use cases of that technology. This book will be an invaluable companion guide to students wishing to become system designers, micro-engineers, security algorithms creators, security experts, and electronic security system manufacturers working on controls or microchips. This textbook provides a comprehensive outline of machine learning designs for biometric and perceptual tasks. The book synthesizes cutting-edge research on applications of CNN (convolutional neural networks) in fingerprint, iris, face, and vascular biometric systems, and soft biometric surveillance systems.

Название: Elasticsearch in Action, 2nd Edition (Final)
Автор: Madhusudhan Konda
Издательство: Manning Publications
Год: 2023
Страниц: 593
Язык: английский
Формат: pdf (true)
Размер: 20.3 MB

Build powerful, production-ready search applications using the incredible features of Elasticsearch. Elasticsearch in Action, Second Edition teaches you to build scalable search applications using Elasticsearch. This completely new edition explores Elasticsearch fundamentals from the ground up. You’ll deep dive into design principles, search architectures, and Elasticsearch’s essential APIs. Every chapter is clearly illustrated with diagrams and hands-on examples. You’ll even explore real-world use cases for full text search, data visualisations, and Machine Learning. Modern search seems like magic. You type a few words and the search engine appears to know what you want. With the Elasticsearch near-real-time search and analytics engine, you can give your users this magical experience without having to do complex low-level programming or understand advanced data science algorithms. You just install it, tweak it, and get on with your work. One of the primary goals of this book is to provide a seamless hands-on experience by including easily executable code. After several iterations, a decision was made to host all the queries, written and executed on Kibana, in a text file on GitHub. These queries are captured as Query DSL-based JSON code. For application developers familiar with DevOps and web services.

Название: Bayesian Optimization in Action (Final Release)
Автор: Quan Nguyen
Издательство: Manning Publications
Год: 2023
Страниц: 426
Язык: английский
Формат: pdf (true)
Размер: 25.0 MB

Apply advanced techniques for optimizing Machine Learning processes. Bayesian optimization helps pinpoint the best configuration for your Machine Learning models with speed and accuracy. Bayesian Optimization in Action shows you how to optimize hyperparameter tuning, A/B testing, and other aspects of the Machine Learning process by applying cutting-edge Bayesian techniques. Using clear language, illustrations, and concrete examples, this book proves that Bayesian optimization doesn’t have to be difficult! You’ll get in-depth insights into how Bayesian optimization works and learn how to implement it with cutting edge Python libraries. The book’s easy-to-reuse code samples let you hit the ground running by plugging them straight into your own projects. Experimenting in science and engineering can be costly and time-consuming, especially without a reliable way to narrow down your choices. Bayesian optimization helps you identify optimal configurations to pursue in a search space. It uses a Gaussian process and Machine Learning techniques to model an objective function and quantify the uncertainty of predictions. Whether you’re tuning machine learning models, recommending products to customers, or engaging in research, Bayesian optimization can help you make better decisions, faster. For Machine Learning practitioners who are confident in math and statistics.

Название: Understanding Deep Learning: Application in Rare Event Prediction
Автор: Chitta Ranjan
Издательство: Leanpub
Год: 2022
Страниц: 428
Язык: английский
Формат: pdf (true)
Размер: 11.4 MB

I hope every reader enjoys this voyage in Deep Learning and find their adventure. Think of Deep Learning as an art of cooking. One way to cook is to follow a recipe. But when we learn how the food, the spices, and the fire behave, we make our creation. And an understanding of the "how" transcends the creation. Likewise, an understanding of the "how" transcends Deep Learning. In this spirit, this book presents the Deep Learning constructs, their fundamentals, and how they behave. Baseline models are developed alongside, and concepts to improve them are exemplified. This book is appropriate for graduate and Ph.D. students, as well as researchers and practitioners. To the practitioners, the book provides complete illustrative implementations to use in developing solutions. For researchers, the book has several research directions and implementations of new ideas, e.g., custom activations, regularizations, and multiple pooling. In graduate programs, this book is suitable for a one-semester introductory course in deep learning. The first three chapters introduce the field, a working example, and sets up a student with TensorFlow. Additionally, the book illustrates how to implement Deep Learning networks with TensorFlow in Python.

Название: The Android Malware Handbook: Detection and Analysis by Human and Machine
Автор: Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian
Издательство: No Starch Press
Год: 2024
Страниц: 446
Язык: английский
Формат: epub
Размер: 25.6 MB

This groundbreaking guide to Android malware distills years of research by Machine Learning experts in academia and members of Meta and Google’s Android Security teams into a comprehensive introduction to detecting common threats facing the Android eco-system today. Explore the history of Android malware in the wild since the operating system first launched and then practice static and dynamic approaches to analyzing real malware specimens. Next, examine Machine Learning techniques that can be used to detect malicious apps, the types of classification models that defenders can implement to achieve these detections, and the various malware features that can be used as input to these models. Adapt these machine learning strategies to the identification of malware categories like banking trojans, ransomware, and SMS fraud. Running on over three billion devices worldwide, Android operates a significant portion of the Internet of Things and is the most popular operating system in history. This reach also makes it one of the most attractive targets for cybercriminals; indeed, as I write this, Android and its devices, stores, apps, and users face constant attacks from a wide range of actors, including well-resourced criminal and state-sponsored organizations.

Название: The AWK Programming Language, 2nd Edition (Final)
Автор: Alfred V. Aho, Brian W. Kernighan, Peter J. Weinberger
Издательство: Addison-Wesley/Pearson
Год: 2024
Страниц: 231
Язык: английский
Формат: True PDF, True EPUB (Retail Copy)
Размер: 17.0 MB

The goal of this book is to teach you what AWK is and how to use it effectively. AWK is a programming language that makes it possible to handle simple computations with short programs, often only one or two lines long. An AWK program is a sequence of patterns and actions that specify what to look for in the input data and what to do when it’s found. Awk searches a set of files that contain text (but not non-text formats like Word documents, spreadsheets, PDFs and so on) for lines that match any of the patterns; when a matching line is found, the corresponding action is performed. A pattern can select lines by combinations of regular expressions and comparison operations on strings, numbers, fields, variables, and array elements. Actions may perform arbitrary processing on selected lines; the action language looks like C but there are no declarations, and strings and numbers are built-in data types. Programmers and other computer users spend a lot of time doing simple, mechanical data manipulation — changing the format of data, checking its validity, finding items that have some property, adding up numbers, printing summaries, and the like. All of these jobs ought to be mechanized, but it’s a real nuisance to have to write a special-purpose program in a language like C or Python each time such a task comes up.

Название: From Objects to Functions: Build Your Software Faster and Safer With Functional Programming and Kotlin
Автор: Uberto Barbini
Издательство: Pragmatic Bookshelf
Год: September 2023 (Version: P1.0)
Страниц: 674
Язык: английский
Формат: epub (true), mobi
Размер: 11.3 MB

Build applications quicker and with less effort using functional programming and Kotlin. Learn by building a complete application, from gathering requirements to delivering a microservice architecture following functional programming principles. Learn how to implement CQRS and EventSourcing in a functional way to map the domain into code better and to keep the cost of change low for the whole application life cycle. If you're curious about functional programming or you are struggling with how to put it into practice, this guide will help you increase your productivity composing small functions together instead of creating fat objects. Switching to the functional paradigm isn't easy when you're used to object-oriented programming. You need more than just lambdas and mapping over collections to get a declarative style and disentangle the state from the computations. Use transformations and compositions to help you write less code with better results. Boost your productivity and harness the power of functional programming by creating real-world applications rather than focusing on theoretical concepts.