Название: Learning Go: An Idiomatic Approach to Real-world Go Programming, 2nd Edition (Final)
Автор: Jon Bodner
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 494
Язык: английский
Формат: pdf (true), azw3
Размер: 10.1 MB

Go has rapidly become the preferred language for building web services. Plenty of tutorials are available to teach Go's syntax to developers with experience in other programming languages, but tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go. No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner introduces the design patterns experienced Go developers have adopted and explores the rationale for using them. This updated edition also shows you how Go's generics support fits into the language. This book is targeted at developers who are looking to pick up a second (or fifth) language. The focus is on people who are new to Go. This ranges from those who don’t know anything about Go other than it has a cute mascot, to those who have already worked through a Go tutorial or even written some Go code. The focus for Learning Go isn’t just how to write programs in Go; it’s how to write Go idiomatically. More experienced Go developers can find advice on how to best use the newer features of the language. The most important thing is that the reader wants to learn how to write Go code that looks like Go.

Название: GPT-4 for Developers
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 169
Язык: английский
Формат: pdf (true)
Размер: 14.7 MB

This resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments. The book contains an assortment of Python 3.x code samples that were generated by ChatGPT and GPT-4. Chapter 1 provides an overview of ChatGPT and GPT-4, followed by a chapter which contains Python 3.x code samples for solving various programming tasks in Python. Chapter 3 contains code samples for data visualization, and Chapter 4 contains code samples for linear regression. The final chapter covers visualization with Gen AI (Generative AI) and DALL-E. Companion files with source code and figures are available for downloading. This resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments.

Название: Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges
Автор: Sandhya Makkar, Gobinath Ravindran, Ripon Kumar Chakrabortty
Издательство: CRC Press
Год: 2024
Страниц: 269
Язык: английский
Формат: pdf (true)
Размер: 12.7 MB

This handbook explores smart cities of the future, provides an understanding of their development and management systems, and discusses the technology challenges. It also discusses why and how humankind can benefit from them. Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges covers the whole journey of the development of smart cities, from the foundations to the usage of technologies, including the challenges and issues that policymakers and technologists may face during the concept, development, management, and implementation stage. The book also covers sustainable strategies and safety measures and offers real-life cases and advancements in manufacturing approaches for smart cities. The book includes upcoming AI technologies such as big data analytics, blockchain, machine learning, fault diagnostics, and a lot more.

Название: Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance: From Data to Process Insights
Автор: Ankur Kumar, Jesus Flores-Cerrillo
Издательство: Leanpub
Год: 2024-01-13
Страниц: 361
Язык: английский
Формат: pdf (true)
Размер: 18.0 MB

This book provides a guided tour of ML techniques utilized in process industry for plant health management. Step-by-step instructions, supported with industrial-scale process datasets, show how to develop ML-based solutions for equipment condition monitoring, plantwide monitoring, and predictive maintenance solutions. This book is designed to help readers quickly gain a working knowledge of machine learning-based techniques that are widely employed for building equipment condition monitoring, plantwide monitoring, and predictive maintenance solutions in process industry. The book covers a broad spectrum of techniques ranging from univariate control charts to deep learning-based prediction of remaining useful life. Consequently, the readers can leverage the concepts learned to build advanced solutions for fault detection, fault diagnosis, and fault prognosis. The application focused approach of the book is reader friendly and easily digestible to the practicing and aspiring process engineers and data scientists. No prior experience with Machine Learning or Python is needed. Undergraduate-level knowledge of basic linear algebra and calculus is assumed.

Название: Architecture Modernization: Socio-technical alignment of software, strategy, and structure (Final Release)
Автор: Nick Tune
Издательство: Manning Publications
Год: 2024
Страниц: 490
Язык: английский
Формат: pdf (true)
Размер: 20.4 MB

Proven techniques and principles for modernizing legacy systems into new architectures that deliver serious competitive advantage. For a business to thrive, it needs a modern software architecture that is aligned with its corporate architecture. This book presents concrete practices that sync software, product, strategy, team dynamics, and work practices. You’ll evolve your technical and social architecture together, reducing needless dependencies and achieving faster flow of innovation across your organization. The decisions you make about your software are inherently connected to the decisions you make about your business. Why not turn the mundane task of modernizing legacy systems into a transformative process for your entire company? This book shows you how! It reveals a socio-technical approach to align your software and products with organizational dynamics and ways of working. Architecture Modernization: Socio-technical alignment of software, strategy, and structure presents a clear path for upgrading your entire organization when you re-imagine your software. In it, you’ll learn to combine practices like Domain-Driven Design, Event Storming, and Wardley Mapping to discover user needs, design optimal architecture, and avoid falling back into old habits. For CTOs, tech leads, and principal engineers who decide on architecture and organization design.

Название: Graph Algorithms for Data Science: With examples in Neo4j (Final Release)
Автор: Tomaz Bratanic
Издательство: Manning Publications
Год: 2024
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 35.7 MB

Practical methods for analyzing your data with graphs, revealing hidden connections and new insights. Graphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with concrete advice on implementation and deployment. You don’t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like Machine Learning, fraud detection, and business data analysis. It’s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You’ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. A graph, put simply, is a network of connected data. Graphs are an efficient way to identify and explore the significant relationships naturally occurring within a dataset. This book presents the most important algorithms for graph data science with examples from Machine Learning, business applications, natural language processing (NLP), and more. Graph Algorithms for Data Science shows you how to construct and analyze graphs from structured and unstructured data. In it, you’ll learn to apply graph algorithms like PageRank, community detection/clustering, and knowledge graph models by putting each new algorithm to work in a hands-on data project. This cutting-edge book also demonstrates how you can create graphs that optimize input for AI models using node embedding. For data scientists who know Machine Learning basics. Examples use the Cypher query language, which is explained in the book.

Название: Machine Learning and Deep Learning in Neuroimaging Data Analysis
Автор: Anitha S. Pillai, Bindu Menon
Издательство: CRC Press
Год: 2024
Страниц: 133
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Machine Learning (ML) and Deep Learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high-dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together Artificial Intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research.

Название: Zero To Production In Rust: An introduction to backend development
Автор: Luca Palmieri
Издательство: Independently published
Год: 2023
Страниц: 601
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Zero To Production is the ideal starting point for your journey as a Rust backend developer. You will learn by doing: you will build a fully functional email newsletter API, starting from scratch. When you read these lines, Rust has achieved its biggest goal: make an offer to programmers to write their production systems in a different language. By the end of the book, it is still your choice to follow that path, but you have all you need to consider the offer. I’ve been part of the growth process of two widely different languages: Ruby and Rust - by programming them, but also by running events, being part of their project management and running business around them. Through that, I had the privilege of being in touch with many of the creators of those languages and consider some of them friends. Rust has been my one chance in life to see and help a language grow from the experimental stage to adoption in the industry. Rust was never intended to be a research platform - it was always meant as a programming language solving real, tangible issues in large codebases. Rust is an industry language, through and through. The Rust ecosystem has had a remarkable focus on smashing adoption barriers with amazing material geared towards beginners and newcomers, a relentless effort that goes from documentation to the continuous polishing of the compiler diagnostics. There is value in serving the largest possible audience.

Название: Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough: Volume 4
Автор: Vinit Kumar Gunjan, Jacek M. Zurada, Ninni Singh
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf (true)
Размер: 11.8 MB

This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and Machine Learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development.

Название: Node.js Secure Coding: Defending Against Command Injection Vulnerabilities
Автор: Liran Tal
Издательство: Leanpub
Год: 23.09.2023 (Version v1.2)
Страниц: 113
Язык: английский
Формат: pdf (true), epub
Размер: 20.7 MB

Master Node.js security and secure coding best practices through analyzing and exploiting real-world vulnerable npm packages. Master Node.js security through hands-on learning and best practices. Learn secure coding conventions in Node.js by executing command injection attacks on real-world npm packages and analyzing vulnerable code. The book features 33 self-assessment yes-no, fill-the-blank, and multiple answer questions to help you evaluate and test your knowledge of Node.js secure coding. You'll analyze the code of 6 vulnerable npm packages found vulnerable via CVE reports to learn best practices on command injection vulnerabilities. With 6 additional references to vulnerable npm packages, you'll strengthen your skills in secure coding. This book takes an adventure-based approach to application security learning, where you will be playing detective who unravels the mysteries of common security vulnerabilities. Through these exercises you will learn about secure coding practices, and how to avoid security pitfalls that software developers and open-source maintainers get caught with. Senior software engineers often recite how one of the most critical skills you should have as an engineer is the ability to read code. The more you read, the easier it becomes for you to understand code and the more context you gain. This book focuses exactly on that - reading vulnerable code, so we can learn from it.