Название: Swarm Intelligence and Evolutionary Computation: Theory, Advances and Applications in Machine Learning and Deep Learning
Автор: Georgios N. Kouziokas
Издательство: CRC Press
Год: 2023
Страниц: 218
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The application of Artificial Intelligence (AI) has been greatly developed in many scientific sectors the last years, with the development of new AI-based algorithms and optimization techniques. Swarm intelligence and evolutionary computation are generally utilized as advanced methods to solve several kinds of computational optimization problems especially when there is only a small amount of relevant information. Swarm intelligence was inspired by studying the swarm behavior of animals in nature. The social intelligence of natural swarm behavior was suitably transformed to develop computational optimization algorithms. Swarm optimization algorithms have a stochastic nature where the swarm individuals are traversing a predefined search space while the swarm algorithm evaluates the individual and the global best fitness function values in every step so as to estimate the next positions of the individuals in the space depending also on predefined hyperparameters and conditions. The aim of the book is to present and discuss several state-of-theart swarm intelligence and evolutionary algorithms together with their variances and also several illustrative applications on Machine Learning and Deep Learning.

Название: Systems Engineering Neural Networks
Автор: Alessandro Migliaccio, Giovanni Iannone
Издательство: Wiley
Год: 2023
Страниц: 243
Язык: английский
Формат: pdf (true), epub
Размер: 38.7 MB

Systems Engineering Neural Networks a complete and authoritative discussion of systems engineering and neural networks. In Systems Engineering Neural Networks, a team of distinguished researchers deliver a thorough exploration of the fundamental concepts underpinning the creation and improvement of neural networks with a systems engineering mindset. In the book, you’ll find a general theoretical discussion of both systems engineering and neural networks accompanied by coverage of relevant and specific topics, from Deep Learning fundamentals to sport business applications. Readers will discover in-depth examples derived from many years of engineering experience, a comprehensive glossary with links to further reading, and supplementary online content. The authors have also included a variety of applications programmed in both Python 3 and Microsoft Excel.

Название: Learning Data Science: Programming and Statistics Fundamentals Using Python (Fifth Early Release)
Автор: Sam Lau, Deborah Nolan, Joseph Gonzalez
Издательство: O’Reilly Media, Inc.
Год: 2023-01-17
Страниц: 252
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.05 MB

As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like Pandas.

Название: Cloud Native Spring in Action: With Spring Boot and Kubernetes
Автор: Thomas Vitale
Издательство: Manning Publications
Год: 2023
Страниц: 724
Язык: английский
Формат: epub (true), mobi
Размер: 23.0 MB

Build and deliver production-grade cloud-native apps with Spring framework and Kubernetes. Cloud Native Spring in Action is a practical guide to building applications that are designed for cloud environments. You’ll learn effective Spring and Kubernetes cloud development techniques that you can immediately apply to enterprise-grade applications. Follow a detailed and complete cloud native system from first concept right through to production and deployment, learning best practices, design patterns, and little-known tips and tricks for pain-free cloud native development. Including coverage of security, continuous delivery, and configuration, this hands-on guide is the perfect primer for navigating the increasingly complex cloud landscape. In Cloud Native Spring in Action, you’ll learn how to containerize your Spring Boot applications with Cloud Native Buildpacks and deploy them on Kubernetes. This practical guide delivers unique insights into hosting microservices, serverless applications, and other modern architectures on cloud platforms. You’ll learn how to use Spring-based methodologies, practices, and patterns that you won’t find anywhere else. For intermediate Java developers.

Название: Computational Intelligence in Image and Video Processing
Автор: Mukesh D Patil, Gajanan K Birajdar, Sangita S Chaudhari
Издательство: CRC Press
Серия: Chapman & Hall/CRC Computational Intelligence and Its Applications
Год: 2023
Страниц: 361
Язык: английский
Формат: pdf (true)
Размер: 16.36 MB

Computational Intelligence in Image and Video Processing presents introduction, state-of-the-art and adaptations of Computational Intelligence (CI) techniques and their usefulness in image and video enhancement, classification, retrieval, forensics and captioning. It covers an amalgamation of such techniques in diverse applications of image and video processing. In this book, the concepts of neuro-fuzzy system, Deep Learning, evolutionary algorithms and nature-inspired optimization algorithms are introduced with their applications in image and video processing. The main objective of this book is to provide a common platform for academicians, researchers and practitioners to obtain a deeper insight into the current state-of-the-art techniques/technologies in the computational intelligence domain and their use in the image and video processing domain.

Название: gRPC Microservices in Go (MEAP v7)
Автор: Huseyin Babal
Издательство: Manning Publications
Год: 2023
Страниц: 242
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

gRPC is a high-performance messaging protocol that’s extraordinarily well-suited for microservices applications. Learn how to build fast and secure gRPC-based microservices using the powerful Go programming language. Go language is a good candidate to build high-performance Cloud-Native distributed applications like Microservices in Kubernetes at a big scale. Microservices with gRPC communication has already enabled lots of companies to implement their products with small services based on their business capabilities, and let those services communicate with each other and with public world smoothly. With the help of Go, the distribution of those services becomes easier due to its fast compilation, being able to generate executable binaries, and many other reasons that we will see in detail with real-life examples in upcoming chapters. Microservice architecture is another form of service-oriented architecture that defines applications as loosely coupled, fine-grained services that can be implemented, deployed, and scaled independently. The main goal of this book is to provide production-grade best practices for gRPC Microservices in a way that by the end of this book, you will have the self-confidence to implement the entire system on your own.

Название: Procedural Generation in Godot: Learn to Generate Enjoyable Content for Your Games
Автор: Christopher Pitt
Издательство: Apress
Год: 2023
Страниц: 252
Язык: английский
Формат: pdf, epub
Размер: 43.1 MB

Learn the tricks of simple procedural generation and how various genres, such as racing simulators, platformers, and roguelikes, can all benefit from these techniques. In this book, you'll learn how to combine hand-crafted content with algorithms to create immersive and beautiful environments. You'll learn how to create a seeding system, so that you can replay great levels with your friends. We'll cover how to create good tilesets, how to use the tilemap editor effectively, and how to inject just the right amount of logic into an otherwise automated machine that is your own personal procedural content generation engine. I mostly follow popular GDScript syntax conventions. Feel free to deviate from these as you like; but be careful to update the code where you’ve chosen different node, script, class, or file names. I mostly follow popular GDScript syntax conventions. Feel free to deviate from these as you like; but be careful to update the code where you’ve chosen different node, script, class, or file names.

Название: The Tao of Microservices, Second Edition (MEAP v2)
Автор: Richard Rodger
Издательство: Manning Publications
Год: 2022
Страниц: 142
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Adopting microservices means changing the way you think about the whole development process—from requirements to rollout. This book will show you the happy path. The Tao of Microservices was an instant classic, guiding thousands of developers at a time when microservices designs were still a bold new idea. This updated second edition is revised for a world where microservices are the de facto standard for enterprise development. This insightful guide helps engineers, architects, and technical leaders understand the principles of microservices that can be used with any project or stack. As you read, you’ll discover experience-based wisdom for making sensible tradeoffs and avoiding common pitfalls. For the code examples I use jаvascript, because that is what most people will be able to read. The ideas in this book work in any language. For the examples, I also use an Open Source microservices framework, of which I am the maintainer. You can use any framework, to none at all, and still apply the ideas in this book usefully. This is not a “how to” book, it is a “what to” book. This book will teach you what to do to make microservices work, and teach you how to think about them.

Название: Bayesian Optimization in Action (MEAP v7)
Автор: Quan Nguyen
Издательство: Manning Publications
Год: 2023
Страниц: 380
Язык: английский
Формат: pdf, epub
Размер: 26.7 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. Throughout this book, we will see a lot of illustrations, plots, and of course, code, which will help make whichever the topic currently being discussed more straightforward and concrete. You will learn how each component of Bayesian optimization works on a high level and how to implement them using state-of-the-art libraries in Python. Another hope of mine for the accompanying code is that it would help you hit the ground running with your own projects, as the Bayesian optimization framework is very general and "plug-and-play." The exercises are also helpful in this regard.

Название: Evolutionary Deep Learning: Genetic algorithms and neural networks (MEAP v11)
Автор: Micheal Lanham
Издательство: Manning Publications
Год: 2023
Страниц: 436
Язык: английский
Формат: pdf, epub
Размер: 24.7 MB

Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning’s common pitfalls and deliver adaptable model upgrades without constant manual adjustment. Evolutionary Deep Learning is a guide to improving your Deep Learning models with AutoML enhancements based on the principles of biological evolution. This exciting new approach utilizes lesser- known AI approaches to boost performance without hours of data annotation or model hyperparameter tuning. To enjoy this book, it is recommended you have some exposure working with and understanding how a Deep Learning framework like Keras or PyTorch function. While you don’t have to be an expert you should be comfortable enough identifying the key components of a Deep Learning system and how they function. If you understand at a high level the mathematical concepts that power deep learning you should also be fine learning new evolutionary methods. Since this is a hands-on book it is also recommended you have experience running Python code as a data scientist or Machine Learning engineer.