Название: Practical Kotlin Deep Dive: Unlocking the 'How' and 'Why' behind Kotlin fundamentals and internal mechanisms
Автор: Jaewoong Eum
Издательство: Leanpub
Год: 2026-01-08
Страниц: 494
Язык: английский
Формат: pdf (true), epub
Размер: 14.2 MB

Takes you from “how to use Kotlin” into “how Kotlin really works,” revealing the internal implementations, desmifying bytecodes and compiler behavior, and internals that shape the language. If you want to write smarter, more confident Kotlin across fundamentals, coroutines, and multiplatform, this is the book that shows you why everything is the way it is. Practical Kotlin Deep Dive unpacks the “how” and “why” behind Kotlin from core language fundamentals and internal mechanisms to the design of its APIs. It spans Kotlin basics, the standard library, coroutines, kotlinx libraries, compiler internals, and Kotlin Multiplatform. This book goes beyond surface-level APIs by diving into Kotlin’s internals: it walks through real Kotlin function implementations, demystifies generated bytecode, and explains how the Kotlin compiler interprets the language. This progression ensures that you understand not only how to use Kotlin effectively, but also why the language was designed the way it is, giving you insights that translate directly into better code.

Название: IAPP AIGP Artificial Intelligence Governance Professional Study Guide
Автор: Peter H. Gregory
Издательство: Sybex
Год: 2026
Страниц: 480
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

An accurate and up-to-date guide to success on the AIGP certification exam and an essential resource for technology and business professionals with an interest in artificial intelligence governance. In the IAPP AIGP Artificial Intelligence Governance Professional Study Guide, tech educator and author of more than 50 cybersecurity and technology books, Peter H. Gregory, delivers a from-scratch guide to preparing for the 2025 Artificial Intelligence Governance Professional (AIGP) certification exam. It's an essential resource for technology professionals taking the test for the first time, as well as those seeking to maintain or expand their skillset. Perfect for every technology professional interested in obtaining an in-demand certification in a rapidly growing field, the IAPP AIGP Artificial Intelligence Governance Professional Study Guide is also a comprehensive, on-the-job reference for IT, information security, and audit professionals with an interest in the management and governance of AI technologies.

Название: From Classical to Quantum Coding
Автор: Zunaira Babar, Daryus Chandra, Soon Xin Ng, Lajos Hanzo
Издательство: Wiley-IEEE Press
Год: 2026
Страниц: 419
Язык: английский
Формат: True PDF, True EPUB
Размер: 46.6 MB

An expert discussion of the potential evolution of quantum codes. In From Classical to Quantum Coding, a team of distinguished researchers deliver a seamless book on the subject of quantum error correction codes (QECC) designed for mitigating the environment-induced decoherence imposed on quantum computing and communications. Part I provides a gentle introduction to the rudimentary principles, paving the way for readers familiar with classical coding to quantum coding, including the associated quantum and classical coding basics. Part II is dedicated to the family of near-term quantum codes, which do not require a high number of qubits and, hence, are suitable for near-term intermediate scale (NISC) quantum computers, for example. Finally, Part III elaborates on the design of a suite of sophisticated long-term quantum coding solutions, when having a relatively high number of qubits becomes realistic, as quantum technology matures. A range of adaptive-rate quantum codes are also conceived for practical scenarios of time-variant depolarizing probability.

Название: The Coder Cafe: 66 timeless concepts for software engineers (MEAP v2)
Автор: Teiva Harsanyi
Издательство: Manning Publications
Год: 2026
Страниц: 261
Язык: английский
Формат: pdf (true), epub
Размер: 83.5 MB

Great software developers—even the proverbial greybeards—get a little better every day by adding knowledge and skills continuously. This new book invites you to share a cup of coffee with senior Google engineer Teiva Harsanyi as he shows you how to make your code more readable, use unit tests as documentation, reduce latency, navigate complex systems, and more. The Coder Cafe introduces 66 vital software engineering concepts that will upgrade your day-to-day practice, regardless of your skill level. You’ll find practical tutorials—each five pages or less—on everything from foundational data structures to distributed architecture. These timeless concepts are the perfect way to turn your coffee break into a high-impact career boost. For serious and curious software engineers.

Название: Initialization and Diversity in Optimization Algorithms
Автор: Diego Oliva, Marco Antonio Perez Cisneros, Bernardo Morales-Castañeda, Mario A. Navarro Velázquez
Издательство: CRC Press
Год: 2026
Страниц: 239
Язык: английский
Формат: pdf (true), epub
Размер: 21.5 MB

Designing new algorithms in swarm intelligence is a complex undertaking. Two critical factors have been seen to have a direct correlation with positive results. First is initialization, which serves as the initial step for all swarm intelligence techniques. Candidate solutions are generated to form the initial population, which are subsequently modified during the iterative process. A well-initialized population increases the algorithm's chances of avoiding local optima and finding the global optimum in fewer iterations. This book presents the theory behind the initialization process and the different mechanisms. Additionally, it includes a comparative study of various diversity indicators. It explores different methodologies to compute its value and explains how it can be incorporated as a mechanism for deciding when to apply operators during the optimization process. Multiple examples are provided in the book using two classical algorithms: Differential Evolution and Particle Swarm Optimization. It includes MATLAB code and offers several exercises that readers can use for experimentation and design purposes.

Название: Grokking Bayes (MEAP v4)
Автор: Quan Nguyen
Издательство: Manning Publications
Год: 2026
Страниц: 135
Язык: английский
Формат: pdf (true), epub
Размер: 20.6 MB

A complete guide to thinking in Bayes, full of fun illustrations and friendly introductions. Grokking Bayes teaches Bayesianism through clear explanations, rich illustrations, and relatable examples. You’ll first build an intuition, and then translate that intuition into working code with Python tools like the PyMC library and ArviZ package. Along the way, you’ll explore how Bayesian ideas connect to modern AI, from uncertainty-aware deep learning to LLM applications. Throughout, the book focuses on the skills for making better decisions: you’ll go from inference, to Bayesian decision theory, and even experimental design. Whether you’re a data scientist, AI practitioner, or curious learner, Grokking Bayes will give you the tools to make smarter decisions without needing to rely on long-run frequencies or reams of data without drowning you in probability theory and abstract math. All you need to start grokking Bayes is high school math and the basics of Python programming.

Название: Building AI Agent Platforms: Tools and Tactics to Scale AI Applications Across the Enterprise (Early Release)
Автор: Ben O’Mahony, Fabian Nonnenmacher
Издательство: O’Reilly Media, Inc.
Год: 2026-01-15
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Generative AI is quickly becoming essential infrastructure for business. But while building a single AI-powered app is relatively simple, creating a platform that allows multiple teams to build, deploy, and maintain agents—securely, reliably, and at scale—is a far greater challenge. Too often, organizations add GenAI capabilities to existing systems without a strategic plan. The result? Cost overruns, governance blind spots, and stalled adoption. While developing software with Machine Learning models is not new, ChatGPT’s widespread availability was a revolutionary step. It enabled the creation of applications that were unimaginable for many developers just a few years ago and significantly lowered the barrier to entry, making AI application development more accessible than ever before. This triggered a gold rush atmosphere, with startups and major corporations all scrambling to build new applications. The pace of innovation is staggering, with a new Large Language Model (LLM), framework, library, or development practice being announced on a near-weekly basis.

Название: Dynamic Authorization (MEAP v3)
Автор: Phil Windley
Издательство: Manning Publications
Год: 2026
Страниц: 340
Язык: английский
Формат: pdf (true), epub
Размер: 19.8 MB

Improve security and standardize policy enforcement by automating authorization and access control! Stale permissions and manual access policy enforcement are a constant security risk. Dynamic authorization—automatic systems that eliminate permanent access grants and manual review-and-revise processes—can radically improve access control. This practical, focused book shows you how to switch from crude yes/no permissions to flexible, policy-driven rules that adapt instantly. Dynamic Authorization comes to life through the all-too-real access control struggles facing the fictional ACME Corp’s customer, HR, and engineering systems. Step-by-step walkthroughs make these examples concrete, while real-world incidents—like the Target data breach—show what’s at stake when authorization goes wrong. You’ll implement a dynamic authorization framework integrating the Cedar authorization policy language and the RBAC, ABAC, and ReBAC models, and you’ll design adaptive policies that reflect real business rules. For IT workers, executives, directors, and product managers who know the basics of systems architecture.

Название: Artificial Intelligence Empowered Smart Energy Systems
Автор: Qiang Yang, Gang Huang
Издательство: Wiley-IEEE Press
Год: 2026
Страниц: 363
Язык: английский
Формат: True PDF, True EPUB
Размер: 39.5 MB

An illuminating and up-to-date exploration of the latest advances in AI-empowered smart energy systems. In Artificial Intelligence Empowered Smart Energy Systems, the editors along with a team of distinguished researchers deliver an original and comprehensive discussion of artificial intelligence enabled smart energy systems. The book offers a deep dive into AI’s integration with energy, examining critical topics like renewable energy forecasting, load monitoring, fault diagnosis, resilience-oriented optimization, and efficiency-driven control. The contributors discuss the real-world applications of AI in smart energy systems, showing you AI’s transformative effects on energy landscapes. It provides practical solutions and strategies to address complicated problems in energy systems. Perfect for researchers, data scientists, and policymakers, Artificial Intelligence Empowered Smart Energy Systems will also benefit graduate and senior undergraduate students in both the tech and energy industries.

Название: Adversarial Machine Learning: Mechanisms, Vulnerabilities, and Strategies for Trustworthy AI
Автор: Jason Edwards
Издательство: Wiley
Год: 2026
Страниц: 396
Язык: английский
Формат: True PDF, True EPUB
Размер: 10.1 MB

Enables readers to understand the full lifecycle of Adversarial Machine Learning (AML) and how AI models can be compromised. Adversarial Machine Learning is a definitive guide to one of the most urgent challenges in Artificial Intelligence today: how to secure Machine Learning systems against adversarial threats. This book explores the full lifecycle of AML, providing a structured, real-world understanding of how AI models can be compromised―and what can be done about it. The book walks readers through the different phases of the Machine Learning pipeline, showing how attacks emerge during training, deployment, and inference. It breaks down adversarial threats into clear categories based on attacker goals―whether to disrupt system availability, tamper with outputs, or leak private information. With clarity and technical rigor, it dissects the tools, knowledge, and access attackers need to exploit AI systems. Blending technical depth with practical insight, Adversarial Machine Learning equips developers, security engineers, and AI decision-makers with the knowledge they need to understand the adversarial landscape and defend their systems with confidence.