Название: Understanding the Artificial Intelligence Revolution: Between Catastrophe and Utopia
Автор: Shalom Lappin
Издательство: CRC Press
Год: 2025
Страниц: 168
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

After many years during which it languished in relative obscurity, in remote classrooms of Computer Science departments and in small prototype projects for tech companies, Artificial Intelligence (AI) is now a searingly hot topic across the media. Yet much of the public discussion is so feverish that an understanding of the basic scientific and engineering elements of the field is easily lost, often resulting in exaggerated claims, as well as dangerously neglected threats. This concise and sober book presents a brief history of AI, explaining in clear language the central engineering innovations that have produced the current revolution. It distinguishes between imagined dangers and the very real problems that AI is creating. Spread across seven short and accessible chapters, this book explains the developments behind Deep Learning and the applications of deep neural networks (DNNs). Automatic code generation applies NMT methods to mapping natural language text into computer code. It permits programmers to create, test, and correct code in a variety of languages. As DNN (Deep Neural Network) code generation improves in quality, it will replace much of the manual work in programming. This will allow software engineers to focus on high-level design and application problems, rather than the details of coding.

Название: The Architect's Guide to NestJS: Architectural Trade-Offs and Implementation Patterns with NestJS
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1996
Язык: английский
Формат: epub (true)
Размер: 22.2 MB

"The Architect's Guide to NestJS" is a comprehensive resource for developers and architects looking to build scalable, maintainable distributed systems using the NestJS framework. The book explores Clean Architecture principles applied to NestJS, moving beyond basic MVC patterns to advanced concepts like domain-driven design, CQRS, and event sourcing. It provides practical guidance on structuring large-scale applications, managing distributed transactions, implementing effective data patterns, and organizing development teams. NestJS stands as a powerful, progressive framework for building efficient, scalable server-side applications. Designed with TypeScript at its core, it combines elements from object-oriented programming, functional programming, and functional reactive programming to provide a robust foundation for enterprise-level applications. What distinguishes NestJS from other Node.js frameworks is its opinionated architecture that emphasizes structure, maintainability, and testability.

Название: AI/ML for Healthcare: Navigating the AI/ML Maze Responsibly, Securely, and Sustainably
Автор: Kapila Monga
Издательство: CRC Press
Год: 2025
Страниц: 296
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

The advent of Generative AI has democratized access to AI, prompting nearly everyone in healthcare organizations - from frontline workers to business leaders – to ask pressing questions: How can I be better equipped to support AI adoption meaningfully? How do I ensure I ask the right questions? What cautions should I exercise as I think about AI/Machine Learning (ML) in my business process? This book aims to answer these and other such questions and to empower healthcare professionals, at all levels, by providing them knowledge across various aspects of AI/ML, enabling them (at least in part) to realize positive, lasting business value from AI and ML initiatives. This book draws upon my experience of working in healthcare AI/ML, lessons I learned while observing leaders in this space trying to make a difference, and research (for evolving topics like sustainable AI development and securing AI/ML systems). This book provides readers with actionable insights to build responsible, secure, and sustainable AI/ML solutions in healthcare and delves into key principles for scaling AI/ML value delivery, including establishing Machine Learning Operations (MLOps) processes and launching citizen Data Science programs.

Название: Cracking the Golang Coding Interview: A Comprehensive Guide to Algorithmic Problem Solving
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1830
Язык: английский
Формат: epub (true)
Размер: 21.2 MB

"Cracking the Golang Coding Interview: A Comprehensive Guide to Algorithmic Problem Solving" is a specialized resource designed for developers preparing for technical interviews with Go programming language. The book fills a significant gap in the market, as while there are many general coding interview books like the original "Cracking the Coding Interview," there hasn't been a Go-specific version with the same depth and recognition. This comprehensive guide covers essential topics including Go fundamentals, data structures, concurrency patterns, and advanced algorithms tailored specifically for Go's unique features. The book provides detailed explanations of common interview patterns like sliding window technique, two-pointer approach, and backtracking strategies, all implemented in idiomatic Go code.

Название: Machine Learning with Python: Building Smart Systems for the Real World
Автор: PremKumar Kora, Rishi Kora
Издательство: Kora AI Tech
Год: 2025
Страниц: 1242
Язык: английский
Формат: epub
Размер: 22.6 MB

Turn data into decisions, and code into intelligent systems. Whether you’re a student, professional, or complete beginner, this book is your hands-on guide to mastering Python and building real-world Machine Learning applications from scratch—without getting lost in theory. Machine Learning with Python: Building Smart Systems for the Real World is more than a technical manual—it’s a learning journey. It starts with the very basics of Python and takes you all the way to building, evaluating, and deploying full-scale Machine Learning models using real datasets and real tools. We begin with Python—the most popular and accessible programming language for Data Science and AI. You’ll start from the very basics: understanding what Python is, why it matters, and how to set up your environment. Then, you’ll gradually dive deeper into core concepts, such as working with strings, lists, sets, dictionaries, and foundational data structures like stacks and trees. Every topic is presented in a structured, readable, and learner-friendly format. By the time you finish, you’ll not only have theoretical knowledge but also practical experience with tools like Jupyter, Anaconda, GitHub, Google Colab, Streamlit, Flask, and FastAPI.

Название: R Programming for Mass Spectrometry: Effective and Reproducible Data Analysis
Автор: Randall K. Julian
Издательство: Wiley
Год: 2025
Страниц: 336
Язык: английский
Формат: epub (true)
Размер: 11.8 MB

The main goal of this book is to show how to analyze mass spectrometry data effectively and reproducibly using the R programming language. Any mass spectrometrist can learn to go beyond spreadsheets and build data analysis solutions using R in a reasonable amount of time. My approach will be like climbing a ladder. Through the lens of mass spectrometry, I will start by introducing native features of the R language. On the next rung are the packages that simplify data storage and retrieval, data manipulation, statistics, and visualization. The next step uses modules originally created to help with molecular biology tasks that also work with data from mass spectrometers. Further up the ladder are mass spectrometry-specific modules used to perform data manipulation and analysis for data generated specifically by mass spectrometers. Beyond that, the ladder goes on, but this book will end on the Machine Learning rung, far from the top.

Название: AI for Knowledge
Автор: Andrew Cox, Mike Thelwall
Издательство: CRC Press
Серия: AI for Everything
Год: 2025
Страниц: 200
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

AI for Knowledge explores the question of whether Artificial Intelligence (AI) is transforming knowledge access and creation for the good. AI is accelerating our access to knowledge through search, recommendation, summarisation, translation and a proliferating range of tools with AI built in. Generative AI is further changing how we use and create information at home and in the workplace. Yet AI also has a dark side with hallucination, bias and lack of explainability, as well as potential for harmful impacts on social equity and the environment. The book investigates how AI will impact everyday knowledge discovery, understanding and creation. The book helps the reader see through some of the AI hype to understand much more clearly what are the issues around the impact of AI on knowledge access and creation, including the implications for environmental sustainability and the power of Big Tech. What emerges is a nuanced picture of potential benefit and risk, especially when we consider the experiences of those with less privileged access to the digital, particularly those outside the Global North.

Название: AI for Everyday IT: Accelerate workplace productivity
Автор: Chrissy LeMaire, Brandon Abshire
Издательство: Manning Publications
Год: 2025
Страниц: 378
Язык: английский
Формат: pdf (true)
Размер: 26.7 MB

Automate and accelerate everyday IT tasks using Generative AI! Read this book, and you may never write another “after incident” report from scratch again! AI for Everyday IT reveals how you can automate dozens of your daily IT tasks with Generative AI—including writing email and reports, setting up a chatbot to field helpdesk requests, evaluating disaster recovery plans, and more. AI for Everyday IT is full of tested, actionable advice for enhancing and accelerating IT tasks using Generative AI tools like ChatGPT and Copilot. It lays out dozens of common IT tasks that AI can help with, and provides the prompts and problem formulation methods that will deliver the best results. You’ll learn how AI can assist with root cause analysis, disaster recovery planning, effective sysadmin scripting, and even writing professional emails when you’re too furious to be nice! By the time you’re finished, you’ll know exactly how to save massive amounts of time and keep yourself competitive in the IT workplace. AI development tools have changed how we write software. What used to take hours—debugging, documentation, basic features—now takes minutes.

Название: Artificial Intelligence All-in-One For Dummies
Автор: Chris Minnick
Издательство: For Dummies
Год: 2025
Страниц: 755
Язык: английский
Формат: pdf (true)
Размер: 36.2 MB

A comprehensive roadmap to using AI in your career and in your life. Artificial Intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do. Artificial Intelligence All-in-One For Dummies compiles insight from the expert authors of AI books in the For Dummies series to provide an easy-to-follow walkthrough for anyone interested in learning how to use AI. You'll learn how to put Artificial Intelligence to work for you and your company in a wide variety of situations, from creating office assistants to managing projects and marketing your products.

Название: The Pocket Mentor for Game Production
Автор: Doug Pennant
Издательство: CRC Press
Год: 2025
Страниц: 196
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Want to work as a producer in the video games industry? Then this is the book for you. This book provides all the essential information and guidance you need to understand the industry and get your foot on the ladder. This book covers everything from basics you’ll need to understand, how to look for and apply for job opportunities, as well as the studio interview process itself. It also includes advice for what to do once you’re in the role, with chapters covering the day‑to‑day of working as a game producer, how to set goals for future career progression, as well as interviews with top tips from experts in the industry. While many programming languages are used in video games, the most common are C++ and C# (pronounced “C plus plus” and “C sharp,” respectively). C++ is a “low-level” language which compiles directly to machine code, allowing for better performance, but requires the programmer to manage low-level functions (e.g., memory allocation) more directly. C# is considered a “high-level” language which automatically handles many of those functions, but this comes with the price of harder performance management. The main language is generally chosen at the engine level, for instance, the Unreal game engine uses a modified version of C++, while the Unity game engine uses C# with bespoke platform compilers to help with compatibility. This book will be of great interest to all beginner and aspiring game producers.