AI & Khoa học dữ liệu

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 | 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 | 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 | 2026 | ISBN: 1032725915 | 762 pages | True EPUB | 34 MB Mathematics is the foundation of machine learning algorithms. To understand the shortcomings of existing algorithms and develop more effective methods, it is essential to understand the mathematical concepts underlying these algorithms and their operational principles. This book serves as an introductory resource, outlining the preliminary concepts and offering insights into the mathematical foundations and operational mechanisms of machine learning algorithms. It describes the basic equations and interrelates the questions arising during practical applications of machine learning with the basic mathematical picture of the algorithms used. Features • Introduces machine...

English | 2024 | ISBN: 1780176732 | 252 pages | True EPUB | 14.62 MB Unlock the potential of AI in your organization with this updated, must-read guide, and discover how to leverage AI to drive innovation, improve efficiency, and gain a competitive edge. This comprehensive guide dives into the latest AI ethics legislation, explore advanced robotics and machine learning, and discover how AI enhances human capabilities. Gain powerful insights into today’s AI applications and learn how emerging trends could reshape industries while addressing critical ethical challenges. Perfect for beginners and strategists alike, this book is your launchpad to crafting a forward-thinking AI strategy that meets modern standards and keeps your...

Discover the easiest way to leverage artificial intelligence with these 750+ ready-to-use ChatGPT prompts for common uses such as increasing work productivity, creative writing, fun and entertainment, and more. In this indispensable guide, Igor Pogany, Head of Education and partner of AI Advantage, empowers both newcomers and seasoned experts alike to "speak ChatGPT" with fluency and confidence. Now, interacting with ChatGPT is easier than ever with more than 750 expert-tested prompts for a myriad of practical use-cases. 100+ "cheat sheets" list specific prompts for achieving a given task, along with a prompting formula to help you tailor the prompt to your specific needs. Get equipped with ready-to-use solutions for your everyday...

English | 2026 | ISBN: 9798868820830 | 158 Pages | EPUB | 4.64 MB Explore the convergence of deep learning and GPU technology. This book is a complete guide for those wishing to use GPUs to accelerate AI workflows. The book is meant to make complex concepts understandable, with step-by-step instructions on how to set up and use GPUs in deep learning applications. Starting with an introduction to the fundamentals, you'll dive into progressive topics like Convolutional Neural Networks (CNNs) and sequence models, exploring how GPU optimization boosts performance. Further, you will learn the power of generative models, and take your skills by deploying AI models on edge devices. Finally, you will master the art of scaling and distributed...

English | April 25th, 2025 | ISBN: 1836647859 | 386 pages | True EPUB (Retail Copy) | 49.15 MB Transform your professional world with ChatGPT and OpenAI master prompt design to revolutionize development, marketing, research, and enterprise implementation Key Features • Turn ChatGPT into your companion for marketing, research, personal productivity, art and coding • Learn prompt engineering techniques that deliver consistent, relevant, and ethical AI-powered results • Build custom GPTs and assistants tailored to your specific business needs and workflows Book Description Practical Generative AI with ChatGPT is your hands-on guide to unlocking the full potential of ChatGPT. From building AI assistants and mastering prompt engineering...

English | 2025 | ISBN: 1633439917 | 520 pages | True EPUB | 19.13 MB How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions. Causal AI is a practical introduction to building AI models that can reason about causality. In Causal AI you will learn how to Build causal reinforcement learning algorithms Implement causal inference with modern probabilistic machine tools such as PyTorch and Pyro Compare and contrast statistical and econometric methods for causal inference Set up algorithms for attribution, credit assignment, and...

English | 2025 | ISBN: 1718504209 | 669 Pages | True EPUB | 25.51MB Dip into deep learning without drowning in theory with this fully updated edition of Practical Deep Learning from experienced author and AI expert Ronald T. Kneusel. After a brief review of basic math and coding principles, you’ll dive into hands-on experiments and learn to build working models for everything from image analysis to creative writing, and gain a thorough understanding of how each technique works under the hood. Whether you’re a developer looking to add AI to your toolkit or a student seeking practical machine learning skills, this book will teach you How neural networks work and how they’re trained How to use classical machine learning models How to...