Building Intelligent Systems
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Building Intelligent Systems
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Author : Geoff Hulten
language : en
Publisher: Apress
Release Date : 2018-03-06
Building Intelligent Systems written by Geoff Hulten and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-06 with Computers categories.
Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems
Artificial Intelligence
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Author : KULKARNI, PARAG
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2015-02-26
Artificial Intelligence written by KULKARNI, PARAG and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-26 with Computers categories.
There has been a movement over the years to make machines intelligent. With the advent of modern technology, AI has become the core part of day-to-day life. But it is accentuated to have a book that keeps abreast of all the state-of-the-art concepts (pertaining to AI) in simplified, explicit and elegant way, expounding on ample examples so that the beginners are able to comprehend the subject with ease. The book on Artificial Intelligence, dexterously divided into 21 chapters, fully satisfies all these pressing needs. It is intended to put each and every concept related to intelligent system in front of the readers in the most simplified way so that while understanding the basic concepts, they will develop thought process that can contribute to the building of advanced intelligent systems. Various cardinal landmarks pertaining to the subject such as problem solving, search techniques, intelligent agents, constraint satisfaction problems, knowledge representation, planning, machine learning, natural language processing, pattern recognition, game playing, hybrid and fuzzy systems, neural network-based learning and future work and trends in AI are now under the single umbrella of this book, thereby showing a nice blend of theoretical and practical aspects. With all the latest information incorporated and several pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering, and information technology. KEY FEATURES • Highlights a clear and concise presentation through adequate study material • Follows a systematic approach to explicate fundamentals as well as recent advances in the area • Presents ample relevant problems in the form of multiple choice questions, concept review questions, critical thinking exercise and project work • Incorporates various case studies for major topics as well as numerous industrial examples
Agentic Design Patterns
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Author : Antonio Gullí
language : en
Publisher: Springer Nature
Release Date : 2025-12-01
Agentic Design Patterns written by Antonio Gullí and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-01 with Computers categories.
This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the 21 Design Patterns represents a fundamental building block for creating agents that can perceive their environment, make informed decisions, and execute actions autonomously. Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems is structured as a comprehensive hands-on guide, with each chapter dedicated to a single agentic pattern. Within each chapter, you will find a detailed pattern overview, practical applications and use cases, one or more hands-on code example, and key takeaways for quick review. From foundational concepts such as Prompt Chaining and Tool Use to advanced topics like Multi-Agent Collaboration and Self-Correction, readers will gain practical knowledge they can immediately apply. While the chapters build on each other, you can also use the book as a handy reference, jumping to patterns that address your specific challenges. To provide a tangible "canvas" for the code examples, this guide utilizes three prominent agent development frameworks: LangChain and its extension LangGraph, which offer a flexible way to build complex operational sequences; Crew AI, which provides a structured framework for orchestrating multiple agents; and the Google Agent Developer Kit (Google ADK), which offers tools for building, evaluating, and deploying agents. By showcasing examples across these tools, you will gain a broad understanding of how these patterns can be applied in any technical environment. Building effective agentic systems requires more than just a powerful language model; it demands structure and design. Agentic patterns provide reusable, battle-tested solutions to common challenges, much like design patterns in software engineering. They offer a common language that makes an agent's logic clearer, more maintainable, and more robust. By the end of this journey, you will possess both the theoretical understanding and the practical skills to implement these 21 essential patterns, enabling you to build more intelligent, capable, and autonomous systems on your chosen development canvas.
Building Intelligent Systems Using Machine Learning And Deep Learning
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Author : ABHAYA KUMAR. SAHOO
language : en
Publisher:
Release Date : 2023
Building Intelligent Systems Using Machine Learning And Deep Learning written by ABHAYA KUMAR. SAHOO and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Ai Mastery
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Author : Yedukondalu Chary
language : en
Publisher: Independently Published
Release Date : 2023-01-15
Ai Mastery written by Yedukondalu Chary and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-15 with categories.
"AI Mastery: The Essential Guide to Building Intelligent Systems" is a comprehensive guide to understanding and implementing artificial intelligence in the real world. Whether you're a beginner looking to learn the basics or an experienced professional looking to expand your knowledge, this book has something for you. Inside, you'll find a wealth of information on the key concepts and techniques used in AI, from supervised and unsupervised learning, to deep learning and reinforcement learning. You'll learn about the different types of neural networks and how to train and evaluate them. You'll also discover the latest techniques for data preprocessing, model selection, and parameter tuning. But this book is more than just a collection of technical information. It also provides practical guidance on how to implement AI in your organization, with a focus on ethical considerations and responsible AI. You'll learn about the best practices for identifying and solving problems, gathering data, and deploying and maintaining models. Whether you're a data scientist, software engineer, or business leader, this book will help you understand the power of AI and how to harness it to achieve your goals. With clear explanations, real-world examples, and hands-on exercises, "AI Mastery" is the essential guide to building intelligent systems. So, dive in and start your journey towards AI mastery today! "AI Mastery: The Essential Guide to Building Intelligent Systems" is a comprehensive and in-depth guide to understanding and implementing artificial intelligence. Written by experts in the field, this book covers everything from the basics of machine learning and neural networks to advanced techniques such as deep learning and reinforcement learning. It is perfect for anyone who wants to understand and apply AI in real-world applications, from students and researchers to data scientists and engineers. With clear explanations, practical examples, and hands-on exercises, this book is a must-read for anyone looking to master the field of AI."
Building Intelligent Systems Utilizing Computer Vision Data Mining And Machine Learning
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Author : Phil Tian
language : en
Publisher:
Release Date : 2013-05-21
Building Intelligent Systems Utilizing Computer Vision Data Mining And Machine Learning written by Phil Tian and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-21 with categories.
Consumers are now demanding and expecting more from technology. Building intelligence into our devices is a promising way to satisfy this demand by providing more personalized experiences. In Building Intelligent Systems the authors investigate how computer vision, machine learning, and data mining can be used together to build smarter devices and systems. Additionally, they explore some of the practical considerations of using artificial intelligence in the real world, tackling issues that are often overlooked in academic circles, such as performance optimization, benchmarking, robustness, and privacy.
Intelligent Building Systems
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Author : Albert Ting-pat So
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Intelligent Building Systems written by Albert Ting-pat So and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Intelligent building is the future of our building industry; all commercial, residential, industrial and institutional buildings will be designed towards the goal of `intelligent buildings'. The most important aspect of an intelligent building is the building systems, such as electrical services, heating, ventilation and air-conditioning systems, vertical transportation systems, and life safety systems, which must operate intelligently and efficiently to enhance the activities of the occupants. Intelligent Building Systems explains what already exists in a modern intelligent building and describes what is currently being developed by researchers to improve human comfort, working efficiency and energy performance for buildings in the 21st century. Intelligent Building Systems is divided into three parts. The first part gives a quick review of the structure, terminology, layout and operating principles of most standard modern building systems. The second part introduces the background material necessary to understand intelligent building systems, including information on electronics technology, fundamental mathematics, and techniques in artificial intelligence and signal processing. These first two parts are the foundation for the final part, which consists of research works carried out by the authors and other researchers in the application of artificial intelligence to building systems. The technologies presented will encourage readers to envision new and innovative ideas on possible future applications. Intelligent Building Systems is relevant to practitioners and researchers in the area of architectural science and engineering, electrical and mechanical services and intelligent buildings. It may also be used as a text for advanced courses on the topic.
Ai Engineering For Beginners
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Author : James Douglas
language : en
Publisher:
Release Date : 2025-04-17
Ai Engineering For Beginners written by James Douglas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Computers categories.
Ready to dive into the world of artificial intelligence-but not sure where to start? This beginner-friendly guide gives you the tools, confidence, and clear step-by-step strategies to build real-world AI systems from scratch-no PhD required. Whether you're a curious learner, career changer, or aspiring developer, AI Engineering for Beginners walks you through the essentials of machine learning, neural networks, data pipelines, model deployment, and responsible AI practices. You'll build your first models, learn the tools professionals use, and gain the skills to pursue a career in one of the most exciting fields in tech. Inside this book, you'll learn: What AI engineering is-and how it's different from research or data science How machine learning works (including supervised, unsupervised, and reinforcement learning) How to collect, clean, and prepare real-world data How to build, train, and evaluate your own AI models How to deploy models using tools like Docker, FastAPI, and cloud platforms How to think critically about AI ethics, bias, and transparency What jobs exist in AI-and how to build a portfolio that gets you hired Written in a friendly, accessible style inspired by bestselling educators, this book turns intimidating concepts into understandable, actionable knowledge. Whether you're just curious or ready to start building, AI Engineering for Beginners is your launchpad into the future of intelligent systems.
Data Structures And Ai
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Author : Jake Brown
language : en
Publisher:
Release Date : 2023
Data Structures And Ai written by Jake Brown and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Artificial Intelligence categories.
Rust For Machine Learning
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Author : DANIEL. C. MATHEWS
language : en
Publisher: Independently Published
Release Date : 2025-05-20
Rust For Machine Learning written by DANIEL. C. MATHEWS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.
ABOUT THE TECHNOLOGY: Machine Learning is revolutionizing our future, but are your current tools enabling you to build systems that are simultaneously fast, dependable, and memory-efficient? It's time to discover Rust: the modern systems language delivering C-like speed without a garbage collector's unpredictable pauses, fearless concurrency, and compile-time safety. This book shows you exactly how Rust is becoming the key to overcoming critical ML challenges, empowering you to forge the next wave of intelligent systems. "Rust for Machine Learning" is your essential hands-on roadmap to mastering Rust for one purpose: building high-performance, ultra-reliable, and truly scalable Machine Learning applications. You'll journey from Rust's core principles to deploying sophisticated intelligent systems, all with practical, real-world Rust code ready for immediate use. Are you hitting a performance wall with your current ML tools? Do reliability concerns in complex data pipelines cause constant worry? Imagine crafting intelligent systems that operate with lightning speed, manage vast datasets effortlessly, and are inherently safer by design, eliminating entire categories of bugs before they ever surface. This isn't a distant vision; it's achievable now with Rust. This book offers more than just learning a language-it presents a way to fundamentally transform your approach to building ML systems. Prepare to move beyond limitations and unlock a new era of performance and safety. Are you ready to engineer the future of AI, today? WHAT'S INSIDE: This comprehensive guide is packed with actionable insights. You'll discover how to: Master Rust for ML: From core concepts like ownership and error handling to advanced concurrency, all tailored for ML. Handle Data Like a Pro: Efficiently process data using Rust's collections, iterators, ndarray for numerics, and Polars for DataFrames. Build Algorithms From Scratch: Understand ML deeply by implementing Linear/Logistic Regression and K-Means yourself. Explore Deep Learning in Rust: Get to grips with neural network basics and navigate Rust's DL tools like tch-rs, burn, and dfdx. Optimize for Extreme Speed: Profile your code, apply Rust-specific optimizations, use rayon for parallelism, and tap into GPU power. Integrate Seamlessly: Connect Rust with Python (PyO3), C/C++, WebAssembly, and ONNX. Deploy to Production: Package models (static binaries, Docker), build scalable web APIs (Actix Web, Axum, Rocket), deploy to the edge, and set up CI/CD & monitoring. Your Final Project: Build a complete intelligent system, applying all your new Rust ML skills! WHO IT'S MEANT FOR: Are you an ML Engineer or Data Scientist pushing performance limits? A Python Developer needing to speed up critical tasks? A Rust Developer ready for AI? Or a Systems Programmer/Architect designing next-gen ML infrastructure? If you're driven to build faster, safer, and more scalable intelligent applications, then this book is designed for you. The future of high-performance, reliable Machine Learning is being written in Rust. Don't just observe it - become an architect of it. This book is your direct path to building intelligent systems that were once thought too complex or too slow for anything but specialized languages. Are you ready to transform your ML development? Get your copy of "Rust for Machine Learning" now, and let's start building truly exceptional AI. Your next breakthrough project deserves the Rust advantage!