Sztuczna inteligencja
Deep Learning with C++. Design and deploy neural networks using CUDA for high-performance AI in C++
Bill Chen, Vikash Gupta
Deep learning systems often struggle to meet performance demands in real-time and production environments. This book shows you how to build high-performance deep learning systems in C++, enabling efficient and scalable artificial intelligence (AI) in resource-constrained environments where performance matters.You’ll start by setting up a complete C++ deep learning environment and implementing core neural networks from scratch. As you progress, you’ll build advanced architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs), Generative Adversarial Networks (GANs), and Transformers, using C++, CUDA, and PyTorch’s C++ API. The book then focuses on model quantization and compression. It will guide you through the model deployment process in production with robust monitoring and explainability. You’ll also explore distributed training and techniques for real-time inference in performance-critical domains.By the end of this book, you’ll be able to design, optimize, and deploy deep learning systems in C++ that are production-ready, scalable, and efficient across multiple industries.*Email sign-up and proof of purchase required
Andy Peng, Alex Strick van Linschoten, Duarte...
Learn how to build, fine-tune, and deploy AI systems using DeepSeek, one of the most influential open-source large language models available today. This book guides you through real-world DeepSeek applications—from understanding its core architecture and training foundations to developing reasoning agents and deploying production-ready systems.Starting with a concise synthesis of DeepSeek's research, breakthroughs, and open-source philosophy, you’ll progress to hands-on projects including prompt engineering, workflow design, and rationale distillation. Through detailed case studies—ranging from document understanding to legal clause analysis—you’ll see how to use DeepSeek in high-value GenAI scenarios.You’ll also learn to build sophisticated agent workflows and prepare data for fine-tuning. By the end of the book, you’ll have the skills to integrate DeepSeek into local deployments, cloud CI/CD pipelines, and custom LLMOps environments.Written by experts with deep knowledge of open-source LLMs and deployment ecosystems, this book is your comprehensive guide to DeepSeek’s capabilities and implementation.
Developing AI Applications. An Introduction
Rheinwerk Publishing, Inc, Metin Karatas
This book opens with a clear introduction to AI fundamentals, covering its history and key concepts while guiding readers through installing essential tools like KNIME and AutoKeras. It begins by building a strong foundation in artificial neural networks and decision trees, enabling readers to grasp core AI methods. The journey then advances to convolutional layers for image classification, transfer learning, and anomaly detection, offering practical, beginner-friendly examples.As the reader progresses, the book explores text classification, cluster analysis, and automated AI model creation with AutoKeras. Visual programming with KNIME is introduced to simplify complex AI workflows. Further chapters cover reinforcement learning and genetic algorithms, expanding the reader’s skill set and preparing them for more advanced challenges. Hands-on exercises throughout reinforce concepts and practical application.In its final chapters, the guide dives into cutting-edge AI tools by demonstrating how to leverage ChatGPT and DALL-E APIs, including prompt engineering and API programming. It concludes with an outlook on the future of AI, equipping readers with the knowledge and confidence to build and deploy their own AI-powered applications from start to finish.
Tim Beattie, Mike Hepburn, Noel O'Connor, Donal...
DevOps Culture and Practice with OpenShift features many different real-world practices - some people-related, some process-related, some technology-related - to facilitate successful DevOps, and in turn OpenShift, adoption within your organization. It introduces many DevOps concepts and tools to connect culture and practice through a continuous loop of discovery, pivots, and delivery underpinned by a foundation of collaboration and software engineering.Containers and container-centric application lifecycle management are now an industry standard, and OpenShift has a leading position in a flourishing market of enterprise Kubernetes-based product offerings. DevOps Culture and Practice with OpenShift provides a roadmap for building empowered product teams within your organization.This guide brings together lean, agile, design thinking, DevOps, culture, facilitation, and hands-on technical enablement all in one book. Through a combination of real-world stories, a practical case study, facilitation guides, and technical implementation details, DevOps Culture and Practice with OpenShift provides tools and techniques to build a DevOps culture within your organization on Red Hat's OpenShift Container Platform.
Digital Ethics in the Age of AI. Navigating the ethical frontier today and beyond
IT Governance Publishing, Dr. Julie E. Mehan
Digital Ethics in the Age of AI explores the profound ethical challenges posed by the rise of artificial intelligence and its integration into our daily lives. The book covers AI’s disruptive effects across various sectors, including misinformation, privacy, and job displacement, offering clear explanations and real-world examples. The author delves into the role of AI in spreading misinformation and disinformation, including the creation of deepfakes, and highlights the increasing risk of online disinhibition driven by AI-powered interactions. The book also addresses the cognitive biases embedded within AI systems and the growing concerns over privacy, data security, and surveillance in an age of ubiquitous AI technologies. Finally, the book explores the potential for AI-driven job displacement, particularly in the cognitive class, and the societal implications of such disruptions. It also covers intellectual property challenges in the age of AI and the complexities surrounding generative AI’s impact on privacy and digital ownership. Offering solutions for mitigating these risks, Digital Ethics in the Age of AI provides a roadmap for navigating the ethical and regulatory landscape of AI today and in the future.
Gerard Johansen
Digital Forensics and Incident Response will guide you through the entire spectrum of tasks associated with incident response, starting with preparatory activities associated with creating an incident response plan and creating a digital forensics capability within your own organization. You will then begin a detailed examination of digital forensic techniques including acquiring evidence, examining volatile memory, hard drive assessment, and network-based evidence. You will also explore the role that threat intelligence plays in the incident response process. Finally, a detailed section on preparing reports will help you prepare a written report for use either internally or in a courtroom.By the end of the book, you will have mastered forensic techniques and incident response and you will have a solid foundation on which to increase your ability to investigate such incidents in your organization.
Nelson Enriquez, Samundar Singh Rathore
Business Intelligence is a type of technology that has been proven to support business decisions in an organization. MicroStrategy 9 is a fully-integrated BI platform that makes Business Intelligence faster, easier, and more user-friendly. It enables businesses to generate their own reports and dashboards without the need for technical knowledge.This practical, hands-on guide will provide Business Intelligence for executives, as well as enable BI reports and dashboards without the dependency of IT savvy personnel. It will allow you to design, build, and share business relevant data in hours, in a secure way, including mobile devices and show you how to leverage your transactional information.This example-oriented book looks at the value proposition of cloud computing and the MicroStrategy platform, and features practical exercises for BI reports and dashboard enablement, including the design phase and best practices for when we design a BI report.The book begins with an exploration of MicroStrategy along with typical business needs. Our focus then shifts to best practices for BI reports and dashboard definitions from the functional stand point, with easy-to-do exercises that will allow you to enable the reports in the platform. You will learn about scorecards and dashboards, along with sharing the reports. Next, you will get acquainted with cloud-based services provided by the MicroStrategy platform. By the end of this book, you will able to design, enable, and share BI reports and dashboards without the need for comprehensive technical knowledge, and leverage the latest technology on the market.
DZIENNIK(AI)RSTWO. Jak sztuczna inteligencja zmienia najciekawszą profesję na świecie
Jan Kreft
Za banałem rewolucji sztucznej inteligencji (AI) kryją się obietnice, lęki i marzenia o nirwanie końca ułomności dziennikarstwa i bogactwie możliwości. Dziennikarstwo algorytmiczne, dziennikarstwo danych, burzy fundamenty modeli biznesowych i zarządzania mediami, tożsamości i ról zawodowych oraz dziennikarskiej ideologii. Obiecuje wiele, destabilizuje wszystko. Zapowiada egalitaryzm, oferuje niespotykaną historycznie dominację. To opowieść o tym, co nauka ma do powiedzenia o maszynach "płynnych bzdur" i chatbotach nie tylko w roli "służalczych kretynów". O schyłku hegemonii dziennikarstwa, o kreatywności i wiarygodności sztucznej inteligencji w dziennikarstwie, stereotypach na temat dezinformacji i powszechnym zastępowaniu i uzupełnianiu dziennikarza w jego zadaniach. O autorytecie algorytmicznym oraz szkoleniu sztucznej inteligencji i treściach nie do odróżnienia od dzieł dziennikarzy. O inwazji "obcych" na jedną z najbardziej pasjonujących profesji, pożytkach teorii ludowych i teorii spiskowych. Także o tym, czym jest prawda sztucznej inteligencji. Wreszcie o przyszłości, oporze algorytmicznym i sensie wykonywania zawodu dziennikarza na świecie i w Polsce. Książka prof. Jana Krefta DZIENNIK(AI)RSTWO. Jak sztuczna inteligencja zmienia najciekawszą profesję na świecie jest niewątpliwie skazana na sukces, podejmując problematykę tzw. sztucznej inteligencji, która stała się obecnie tematem o pierwszoplanowym charakterze i jest rozpatrywana w różnych kontekstach: prawnym, ekonomicznym, społecznym. Entuzjazm i jednocześnie niepokój, jakie wywołuje, można porównać do podobnej gorączki, która towarzyszyła rozwojowi Internetu pod koniec lat 90. Książka, która podejmuje ten temat, wpisuje się natychmiast w gorącą atmosferę oczekiwań i lęków, co z pewnością przełoży się na jej popularność, a także [...] będzie wyznaczać przyszłe tory refleksji, definiować podstawowe pole analizy czy podsuwać główne pojęcia z tą refleksją związane. Z recenzji prof. Rafała Maciąga, Uniwersytet Jagielloński Prof. dr hab. Jan Kreft - wieloletni dziennikarz i korespondent zagraniczny, menedżer zarządzający firmami mediów i nowych technologii. Szef Zakładu Zarządzania Algorytmicznego (Politechnika Gdańska). Autor kilkunastu książek, między innymi: Władza algorytmów, Władza platform, Za fasadą społeczności, Koniec dziennikarstwa, jakie znamy oraz Władza misjonarzy. Zmierzch i świt świeckiej religii w Dolinie Krzemowej.