Название: Functional Event-Driven Architecture : Powered by Scala 3
Автор: Gabriel Volpe
Издательство: Leanpub
Год: January 2, 2023
Страниц: 265
Язык: английский
Формат: pdf (true), epub
Размер: 11.2 MB

Explore the event-driven architecture (EDA) in a purely functional way. Learn to design and develop distributed systems that scale. Identify common design patterns in such systems.Take your functional programming skills to the next level by joining me in developing a distributed system powered by Apache Pulsar and Fs2 streams, all in Scala 3! Explore the event-driven architecture (EDA) in a purely functional way. Learn to design and develop distributed systems that scale. Identify common design patterns in such systems. In the same spirit of Practical FP in Scala, we will develop a distributed system written in Scala 3 that meets the requirements of a modern software architecture capable of processing billions of events per day at scale powered by Apache Pulsar and Fs2 streams.

Название: Quantum Computing Compact: Spooky Action at a Distance and Teleportation Easy to Understand
Автор: Bettina Just
Издательство: Springer
Год: 2022
Страниц: 107
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Quantum computing is talked about in times of Artificial Intelligence and fast algorithms. You can find articles not only in technical literature and popular science literature, but also in ordinary daily newspapers and journals. One hears about superfast computers that could break encryption systems, be used in material design and in the simulation of traffic flows and logistics, and speed up all applications of Artificial Intelligence enormously. Quantum computers (like conventional computers) consist of the hardware, that is the devices themselves, and the software, the algorithms that run on the devices. The smallest piece of hardware in a quantum computer is the quantum bit. Quantum bits are tiny particles, about the size of electrons or photons (particles of light), which obey the laws of quantum physics. Quantum computer hardware is currently the biggest difficulty in the use of quantum computers. A brief outline of quantum computer hardware can be found in the last chapter of the book. The second part of the book then deals in detail—beyond the hardware—with the software, i.e., with the way quantum algorithms work.

Название: A Different Look at Artificial Intelligence: On Tour with Bergson, Proust and Nabokov
Автор: Ulrike Barthelmeß, Ulrich Furbach
Издательство: Springer
Год: 2023
Страниц: 172
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Digitalization is inexorably conquering our lives - also with Artificial Intelligence (AI) methods. Search engine operators, social network operators and shipping platform operators know more and more about us, about our buying and living habits. User data has become a valuable commodity. We live and work with computer systems that behave intelligently or are even intelligent. Questions like "Can machines be intelligent?" or "Can they have emotions or a consciousness?" keep popping up. To enable readers to form their own opinion on these questions, the authors clearly explain individual techniques or methods of AI and relate them to approaches from philosophy, art and neurobiology. Topics such as logical reasoning, knowledge and memory play just as important a role as Machine Learning and artificial neural networks (ANN). In the foreground is the question of what constitutes memory and thinking, what role our emotions play when we as humans move through life, through the world. A book that offers unusual perspectives on Artificial Intelligence.

Название: Delphi: Готовые алгоритмы
Автор: Стивене Р.
Издательство: СПб.: Питер
Год: 2004
Cтраниц: 384
Формат: pdf
Размер: 29 мб

Программирование всегда было достаточно сложной задачей. Эта книга поможет вам легко преодолеть возникающие трудности с помощью библиотеки мощных алгоритмов, полностью реализованных в исходном коде Delphi. Вы узнаете, как выбрать способ, наиболее подходящий для решения конкретной задачи, и как добиться максимальной производительности вашего приложения.

Название: Graph Neural Networks in Action (MEAP v4)
Автор: Keita Broadwater
Издательство: Manning Publications
Год: 2022
Страниц: 197
Язык: английский
Формат: pdf, epub
Размер: 15.1 MB

A hands-on guide to powerful graph-based Deep Learning models! Learn how to build cutting-edge graph neural networks (GNN) for recommendation engines, molecular modeling, and more. Graph Neural Networks in Action teaches you to create powerful deep learning models for working with graph data. You’ll learn how to both design and train your models, and how to develop them into practical applications you can deploy to production. Go hands-on and explore relevant real-world projects as you dive into graph neural networks perfect for node prediction, link prediction, and graph classification. Inside this practical guide, you’ll explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code. If you are an intermediate user of Python, and have some Data Science or Machine Learning engineering experience, you should be good enough to dive in. I also assume you have basic knowledge of neural networks and linear algebra. For Python programmers familiar with Machine Learning and the basics of Deep Learning.

Название: Mathematical Aspects of Deep Learning
Автор: Philipp Grohs, Gitta Kutyniok
Издательство: Cambridge University Press
Год: 2023
Страниц: 492
Язык: английский
Формат: pdf
Размер: 22.3 MB

In recent years the development of new classification and regression algorithms based on Deep Learning (DL) has led to a revolution in the fields of Artificial Intelligence (AI), Machine Learning (ML), and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research.

Название: Ensemble Methods for Machine Learning (MEAP v8)
Автор: Gautam Kunapuli
Издательство: Manning Publications
Год: 2022
Страниц: 455
Язык: английский
Формат: pdf, epub
Размер: 25.5 MB

Many Machine Learning problems are too complex to be resolved by a single model or algorithm. Ensemble Machine Learning trains a group of diverse Machine Learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real-world applications. Learning from hands-on case studies, you'll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. Ensemble Machine Learning lets you make robust predictions without needing the huge datasets and processing power demanded by Deep Learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results. For Python programmers with machine learning experience.

Название: Python How-To (MEAP v9)
Автор: Dr. Yong Cui
Издательство: Manning Publications
Год: 2022
Страниц: 606
Язык: английский
Формат: pdf, epub
Размер: 13.4 MB

Have you ever asked yourself, “How do I do that in Python?” If so, you’ll love this practical collection of the most important Python techniques. Python How-To walks you through the most important coding techniques in Python. Whether you’re doing data science, building web applications, or writing admin scripts, you’ll find answers to your “how-to” questions in this book. Author Yong Cui’s clear and practical writing is perfect for beginners and veterans alike, with insightful code snippets, interesting graphics, and challenging exercises. Along the way, you’ll learn how to take advantage of Python’s versatile tools and libraries. As one of the most popular languages, Python is the choice of language for many first-time coding learners. Its open-source, general-purpose, platform-independent nature has engendered probably the most active developer community, which has resulted in tens of thousands of freely available libraries for web development, Machine Learning (ML), Data Science, and many other specialties.

Название: Security as Code: DevSecOps Patterns with AWS (Final Release)
Автор: BK Sarthak Das, Virginia Chu
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 158
Язык: английский
Формат: epub (true), mobi
Размер: 10.1 MB

DevOps engineers, developers, and security engineers have ever-changing roles to play in today's cloud native world. In order to build secure and resilient applications, you have to be equipped with security knowledge. Enter security as code. In this book, authors BK Sarthak Das and Virginia Chu demonstrate how to use this methodology to secure any application and infrastructure you want to deploy. With Security as Code , you'll learn how to create a secure containerized application with Kubernetes using CI/CD tooling from AWS and open source providers. This practical book also provides common patterns and methods to securely develop infrastructure for resilient and highly available backups that you can restore with just minimal manual intervention.

Название: Concise Guide to Numerical Algorithmics: The Foundations and Spirit of Scientific Computing
Автор: John Lawrence Nazareth
Издательство: Springer
Серия: SpringerBriefs in Computer Science
Год: 2023
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Numerical Algorithmic Science and Engineering (NAS&E), or more compactly, Numerical Algorithmics, is the theoretical and empirical study and the practical implementation and application of algorithms for solving finite-dimensional problems of a numeric nature. The variables of such problems are either discrete-valued, or continuous over the reals, or, and as is often the case, a combination of the two, and they may or may not have an underlying network/graph structure. This re-emerging discipline of numerical algorithmics within computer science is the counterpart of the now well-established discipline of numerical analysis within mathematics, where the latter’s emphasis is on infinite-dimensional, continuous numerical problems and their finite-dimensional, continuous approximates.