AI & Khoa học dữ liệu

English | 2026 | ISBN: 1837024537 | 554 pages | True PDF Implement Large Language Models to transform finance with this hands-on guide. Build AI agents, automate trading and banking, enhance risk management, and streamline compliance with real examples. Key Features Implement LLM solutions for trading, investment analysis, and banking operations Build Financial agents to automate financial tasks in risk management and compliance Explore real-world case studies, advanced model techniques, and future AI trends Book Description Large language models are revolutionizing finance from market analysis to compliance automation but applying them in practice can be challenging. LLMs in Finance is a step-by-step guide that demystifies these...

English | 2026 | ISBN: 1806691450 | 338 pages | True PDF, EPUB Kick-start your agentic AI career with insights from leaders at Google, Microsoft, and Liquid AI. Learn the skills, strategies, and tools to build intelligent agents, transition faster, and lead in the era of autonomous systems. Key Features Discover the only comprehensive career roadmap for the Generative AI era Learn directly from top industry experts, leaders, and AI innovators Build future-proof skills, from prompt engineering to ethical AI strategy Purchase of the print or Kindle book includes a free PDF eBook Book Description This book is a landmark publication, the first-ever collaborative guide authored by a powerhouse lineup of industry leaders from Google...

English | 2026 | ISBN: 8743813666 | 188 pages | True PDF | 29.41 MB This book explains the principles, structure, and real-world practice of prompt engineering in a way that anyone working with large language models can understand and apply. Rather than treating prompting as a collection of hacks, it walks the reader through how to think about role, context, task, constraints, and examples so that LLMs produce reliable, domain-appropriate outputs. Starting from the basics of “what is a prompt,” the book then connects prompting to how generative AI models actually work, introduces core and advanced prompting patterns (prompt chaining, dynamic templates, tool-augmented prompting), and shows how to evaluate and refine model responses...

English | 2026 | ISBN: 1633434656 | 454 pages | True PDF | 33.33 MB A digital twin is a software-based replica of a physical system that can be used to operate, monitor, and maintain it remotely. Working together, IoT sensors, 3D visualizations, simulation algorithms, AI models, and even robotics give a digital twin an impressive degree of control. This virtual environment is perfect for testing ideas, exploring "what if" scenarios, and unlocking insights all without making costly changes in reality. Author Greg Biegel has developed numerous industry-scale digital twin platforms from the ground up. In this book, he shares this unique experience with real-world insights about state of the art digital twins you can put into action...

English | May 23, 2026 | ASIN: B0GZSK31J1 | 469 pages | EPUB | 24.57 MB Build real AI agent systems, not fragile demos. Systems Thinking for Agentic AI is a practical architecture book for software engineers, backend developers, technical leads, and architects who want to design production-ready applications with large language models. LLMs are powerful, but an LLM alone is not a system. Real AI applications need prompts, retrieval, tools, memory, and orchestration working together with guardrails, evaluation, observability, and runtime control — all inside clear engineering boundaries. This book explains how to move from simple chatbot experiments to reliable AI-enabled software systems. It focuses on the production realities that...

English | ASIN: B0FN37DV9N, ISBN: 9798341622661 | 2025 | True PDF | 506 pages Valliappa Lakshmanan, Hannes Hapke, "Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications " Generative AI enables powerful new capabilities, but they come with some serious limitations that you'll have to tackle to ship a reliable application or agent. Luckily, experts in the field have compiled a library of 32 tried-and-true design patterns to address the challenges you're likely to encounter when building applications using LLMs, such as hallucinations, nondeterministic responses, and knowledge cutoffs. This book codifies research and real-world experience into advice you can incorporate into your...

English | 2025 | ISBN: 9367138660 | 812 Pages | EPUB Deep Learning is designed as a textbook for undergraduate and postgraduate students, providing a strong foundation in deep learning concepts. The book begins with fundamental topics such as artificial intelligence, machine learning, natural language processing, image processing, and computer vision, which are essential for understanding deep learning technologies. Core deep learning concepts, including neural networks, activation functions, loss functions, optimization, and regularization, are explored in depth. Additionally, the book introduces data fundamentals, ensuring a complete learning experience.

English | 2026 | ISBN: 1032745908 | 263 pages | True PDF,EPUB Generative AI algorithms have become transformative forces in today’s digital landscape, revolutionizing industries from healthcare and finance to creative arts and software development by enabling machines to create human-like content, automate complex tasks, and generate innovative solutions at unprecedented scale and speed. These applications are driving significant productivity gains across organizations, with AI-powered tools like large language models, image generators, and code assistants helping professionals streamline workflows, enhance creativity, and solve problems that were previously time-intensive or required specialized expertise. The strategic importance...

English | September 26th, 2025 | ISBN: 1836205899 | 292 pages | True EPUB (Retail Copy) | 6.67 MB Take your business to the next level by strategically implementing AI in your business functions where it makes most sense and unlock transformative gains over time without breaking your bank Key Features • Simplify complex AI concepts with clear explanations tailored for business leaders • Learn how to assess AI opportunities and align them with business goals for maximum impact • Scope and build your first AI prototypes to gain traction quickly Book Description Artificial Intelligence has the power to dramatically enhance business performance—but knowing where to begin can be overwhelming. The Profitable AI Advantage offers a clear...

English | 2026 | ISBN: 1806106132 | 449 pages | True EPUB | 9.1 MB Stay ahead in NLP by mastering core skills and cutting-edge techniques. This fully updated second edition teaches you to build powerful language solutions using the latest LLMs, RAG, and AI agents Key Features Build autonomous AI agents by orchestrating LLMs and tools with frameworks such as LangChain Use updated Python code and modern libraries (e.g., LoRA) to implement advanced NLP techniques Design technical guardrails for safe and responsible use of LLMs and AI agents Purchase of the print or Kindle book includes a free PDF eBook Book Description Keeping up with the rapid advancements in NLP can be challenging. Mastering NLP from Foundations to Agents, Second...

English | 2026 | ISBN: 1394325258 | 743 pages | True EPUB | 53.04 MB New edition of a PROSE award finalist title on core concepts for machine learning, updated with the latest developments in the field, now with Python and R source code side-by-side Machine Learning is a comprehensive text on the core concepts, approaches, and applications of machine learning. It presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension reduction. New content for this edition includes chapter expansions which provide further computational and algorithmic insights to improve reader understanding. This edition also revises several chapters to account...

English | November 11th, 2025 | ISBN: 139432541X | 387 pages | True PDF (Retail Copy) | 4.89 MB A hands-on technical and industry roadmap for aspiring data engineers In Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the fundamentals of data engineering. Whether you're interested in starting a rewarding, new career as a data analyst, data engineer, or data scientist, or seeking to expand your skillset in an existing engineering role, Nwokwu offers the technical and industry knowledge you need to succeed. The book explains • Database fundamentals, including relational and noSQL databases • Data warehouses and data lakes • Data pipelines, including info...