Artificial Intelligence Algorithms
DOWNLOAD
Download Artificial Intelligence Algorithms PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence Algorithms book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
The Basics Of Ai Algorithms
DOWNLOAD
Author : Julian Vexley
language : en
Publisher: Independently Published
Release Date : 2025-10-11
The Basics Of Ai Algorithms written by Julian Vexley and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-11 with Computers categories.
Artificial Intelligence is transforming the modern world - but beneath the headlines about robots, automation, and smart machines lies something much simpler: the algorithm. These sets of rules, calculations, and logical steps are the beating heart of every intelligent system. In The Basics of AI Algorithms, Julian Vexley breaks down this vast and technical subject into ten clear, accessible chapters designed for the curious reader. This book explores how machines learn, adapt, and evolve through data. It starts with the core question - what exactly is an algorithm? - and then guides you through the major branches of machine learning: supervised learning, unsupervised learning, and reinforcement learning. From there, it examines the models that make AI work, including neural networks that mimic the brain, decision trees that provide clarity and structure, and ensemble methods that show the power of collaboration between multiple algorithms. Each chapter reveals one of the essential pillars of artificial intelligence, explaining complex concepts in plain English without formulas or jargon. You'll learn how Support Vector Machines find the best dividing line between data points, how K-Nearest Neighbours classify information by proximity, and how Gradient Descent helps machines improve themselves step by step - the same process that powers modern deep learning. Throughout the book, Vexley combines insight, historical context, and practical examples to show how algorithms shape the world around us - from search engines and medical diagnostics to voice recognition and autonomous vehicles. The writing is clear, engaging, and ideal for readers who want to understand AI without getting lost in mathematics or code. More than a technical primer, The Basics of AI Algorithms is a story about how logic became intelligence. It explains how centuries-old ideas from mathematics and philosophy have evolved into digital systems capable of analysing vast amounts of information and making decisions that impact millions of lives. It also explores the human side of AI: how data quality, ethical responsibility, and human oversight remain vital in a world increasingly governed by automation. By the end of this book, readers will not only understand how AI algorithms work but also why they matter - and how they continue to redefine creativity, problem-solving, and the nature of intelligence itself. Whether you're a student, professional, or simply fascinated by the technologies shaping the future, The Basics of AI Algorithms offers a clear, comprehensive, and thought-provoking introduction to the logic behind the machine. Chapters include: 01. The Core Concept: What Is an Algorithm in AI? 02. Supervised Learning: Learning from Labelled Examples 03. Unsupervised Learning: Discovering Hidden Patterns 04. Reinforcement Learning: Learning Through Trial and Error 05. Neural Networks: Mimicking the Human Brain 06. Decision Trees: Transparent and Interpretable Logic 07. Support Vector Machines: Finding the Best Separating Line 08. K-Nearest Neighbours: Learning by Proximity 09. Ensemble Methods: The Power of Collaboration 10. Gradient Descent: The Path to Optimisation The Basics of AI Algorithms is your essential guide to understanding how machines think - and how their logic is shaping the world of tomorrow.
Dominant Algorithms To Evaluate Artificial Intelligence From The View Of Throughput Model
DOWNLOAD
Author : Waymond Rodgers
language : en
Publisher: Bentham Science Publishers
Release Date : 2022-07-20
Dominant Algorithms To Evaluate Artificial Intelligence From The View Of Throughput Model written by Waymond Rodgers and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-20 with Computers categories.
This book describes the Throughput Model methodology that can enable individuals and organizations to better identify, understand, and use algorithms to solve daily problems. The Throughput Model is a progressive model intended to advance the artificial intelligence (AI) field since it represents symbol manipulation in six algorithmic pathways that are theorized to mimic the essential pillars of human cognition, namely, perception, information, judgment, and decision choice. The six AI algorithmic pathways are (1) Expedient Algorithmic Pathway, (2) Ruling Algorithmic Guide Pathway, (3) Analytical Algorithmic Pathway, (4) Revisionist Algorithmic Pathway, (5) Value Driven Algorithmic Pathway, and (6) Global Perspective Algorithmic Pathway. As AI is increasingly employed for applications where decisions require explanations, the Throughput Model offers business professionals the means to look under the hood of AI and comprehend how those decisions are attained by organizations. Key Features: - Covers general concepts of Artificial intelligence and machine learning - Explains the importance of dominant AI algorithms for business and AI research - Provides information about 6 unique algorithmic pathways in the Throughput Model - Provides information to create a roadmap towards building architectures that combine the strengths of the symbolic approaches for analyzing big data - Explains how to understand the functions of an AI algorithm to solve problems and make good decisions - informs managers who are interested in employing ethical and trustworthiness features in systems. Dominant Algorithms to Evaluate Artificial Intelligence: From the view of Throughput Model is an informative reference for all professionals and scholars who are working on AI projects to solve a range of business and technical problems.
Beyond Algorithms
DOWNLOAD
Author : James Luke
language : en
Publisher: CRC Press
Release Date : 2022-05-29
Beyond Algorithms written by James Luke and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-29 with Computers categories.
With so much artificial intelligence (AI) in the headlines, it is no surprise that businesses are scrambling to exploit this exciting and transformative technology. Clearly, those who are the first to deliver business-relevant AI will gain significant advantage. However, there is a problem! Our perception of AI success in society is primarily based on our experiences with consumer applications from the big web companies. The adoption of AI in the enterprise has been slow due to various challenges. Business applications address far more complex problems and the data needed to address them is less plentiful. There is also the critical need for alignment of AI with relevant business processes. In addition, the use of AI requires new engineering practices for application maintenance and trust. So, how do you deliver working AI applications in the enterprise? Beyond Algorithms: Delivering AI for Business answers this question. Written by three engineers with decades of experience in AI (and all the scars that come with that), this book explains what it takes to define, manage, engineer, and deliver end-to-end AI applications that work. This book presents: Core conceptual differences between AI and traditional business applications A new methodology that helps to prioritise AI projects and manage risks Practical case studies and examples with a focus on business impact and solution delivery Technical Deep Dives and Thought Experiments designed to challenge your brain and destroy your weekends
Artificial Intelligence And Machine Learning Algorithms For Engineering Applications
DOWNLOAD
Author : Krishan Arora
language : en
Publisher: CRC Press
Release Date : 2025-09-16
Artificial Intelligence And Machine Learning Algorithms For Engineering Applications written by Krishan Arora and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-16 with Technology & Engineering categories.
This book comprehensively covers core algorithms and techniques used in artificial intelligence (AI) and machine learning (ML) for engineering applications. It further explores the use of AI in civil and structural engineering, quality control, and product design. Features: Presents autonomous robots using onboard computing and artificial intelligence (AI) algorithms to process the data from their sensors and make real-time decisions. Discusses nature-based optimization-based computing techniques to enhance the computational speed for solving engineering problems. Provides conceptual and practical knowledge about the design of modern computation techniques with advanced tools and methodologies. Highlights the importance of using smart techniques including AI and ML in product design and development. Covers time series analysis and forecasting in engineering, robotic process automation, and autonomous robots in manufacturing. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, manufacturing engineering, and environmental engineering.
A Guided Tour Of Artificial Intelligence Research
DOWNLOAD
Author : Pierre Marquis
language : en
Publisher: Springer Nature
Release Date : 2020-05-08
A Guided Tour Of Artificial Intelligence Research written by Pierre Marquis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-08 with Computers categories.
The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). This second volume presents the main families of algorithms developed or used in AI to learn, to infer, to decide. Generic approaches to problem solving are presented: ordered heuristic search, as well as metaheuristics are considered. Algorithms for processing logic-based representations of various types (first-order formulae, propositional formulae, logic programs, etc.) and graphical models of various types (standard constraint networks, valued ones, Bayes nets, Markov random fields, etc.) are presented. The volume also focuses on algorithms which have been developed to simulate specific ‘intelligent” processes such as planning, playing, learning, and extracting knowledge from data. Finally, an afterword draws a parallel between algorithmic problems in operation research and in AI.
Algorithms And Architectures Of Artificial Intelligence
DOWNLOAD
Author : Enn Tõugu
language : en
Publisher: IOS Press
Release Date : 2007
Algorithms And Architectures Of Artificial Intelligence written by Enn Tõugu and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
This book gives an overview of methods developed in artificial intelligence for search, learning, problem solving and decision-making. It gives an overview of algorithms and architectures of artificial intelligence that have reached the degree of maturity when a method can be presented as an algorithm, or when a well-defined architecture is known, e.g. in neural nets and intelligent agents. It can be used as a handbook for a wide audience of application developers who are interested in using artificial intelligence methods in their software products. Parts of the text are rather independent, so that one can look into the index and go directly to a description of a method presented in the form of an abstract algorithm or an architectural solution. The book can be used also as a textbook for a course in applied artificial intelligence. Exercises on the subject are added at the end of each chapter. Neither programming skills nor specific knowledge in computer science are expected from the reader. However, some parts of the text will be fully understood by those who know the terminology of computing well.
Mastering Algorithms For Ai
DOWNLOAD
Author : Hesham Mohamed Elsherif
language : en
Publisher:
Release Date : 2024-09-15
Mastering Algorithms For Ai written by Hesham Mohamed Elsherif and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-15 with Computers categories.
At the heart of AI lies the concept of an algorithm. An algorithm is essentially a step-by-step procedure or formula for solving a problem. In the context of AI, algorithms are used to process data, identify patterns, learn from that data, and make decisions based on the knowledge gained. AI algorithms differ from traditional algorithms in that they often involve learning and adaptation. Traditional algorithms are rule-based, meaning that the instructions are explicitly programmed and fixed. AI algorithms, particularly in machine learning, are designed to improve over time by learning from data. They can adjust their behavior based on new information, becoming more accurate and efficient as they process more data. In this book, we aim to demystify AI algorithms and provide you with both theoretical and practical insights into how these algorithms work. Starting from the basics of what an algorithm is, we move toward more complex algorithms and their applications in AI. The book is divided into manageable sections that introduce algorithms in a step-by-step manner, with code examples and projects to reinforce learning. You'll not only understand how algorithms are structured but also how to apply them in real-world AI systems. Whether you are new to AI or seeking to deepen your expertise, this book will equip you with the tools to build, optimize, and deploy AI algorithms that drive intelligent systems. Our goal is to empower you with the knowledge and skills to navigate the world of AI algorithms, from foundational principles to cutting-edge techniques. As artificial intelligence (AI) continues to evolve and become increasingly integrated into our daily lives, understanding the underlying algorithms that power AI systems is no longer just the domain of specialists. AI algorithms have become essential tools for professionals in diverse industries, from healthcare and finance to marketing and robotics. But why is it so important to learn AI algorithms specifically? The answer lies in the profound impact these algorithms have on the effectiveness, efficiency, and intelligence of AI systems. Learning AI algorithms is about understanding how machines can solve problems, make decisions, and adapt in ways that mimic - or even surpass - human capabilities. "Mastering Algorithms for AI: From Basics to Advanced Techniques" is designed as a comprehensive guide that takes you step-by-step through the world of AI algorithms, starting from foundational concepts and progressing to advanced techniques. Whether you're a beginner looking to enter the field of artificial intelligence or an experienced professional seeking to deepen your understanding, this book provides a clear, structured learning path. The following guidelines will help you make the most of this resource as you embark on your journey to mastering AI algorithms. Mastering Algorithms for AI: From Basics to Advanced Techniques is designed to be a versatile, comprehensive guide that accommodates learners from all backgrounds. Whether you're a novice or an experienced AI professional, you can use this book to build a solid understanding of AI algorithms, develop practical coding skills, and work on real-world projects that reinforce learning. With its modular structure, hands-on projects, and in-depth theoretical insights, this book serves as both a learning resource and a reference guide, ensuring that you walk away with a deep understanding of AI algorithms and the confidence to apply them in your work or research.
Artificial Intelligence
DOWNLOAD
Author : ANSHUMAN. MISHRA
language : en
Publisher: Independently Published
Release Date : 2025
Artificial Intelligence written by ANSHUMAN. MISHRA 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 with Computers categories.
"Artificial Intelligence: Algorithms and Applications Unveiled" is an essential guide to understanding the vast and rapidly evolving field of Artificial Intelligence (AI). This book provides both newcomers and experienced professionals with a comprehensive, clear, and detailed exploration of the core algorithms and applications that power modern AI technologies. With the world becoming increasingly intertwined with intelligent systems, this book addresses the fundamental principles behind AI, its transformative capabilities, and how these algorithms can be applied to real-world challenges across various industries. The book is divided into carefully structured chapters that cover a wide range of AI topics-from the foundational concepts of machine learning, neural networks, and natural language processing, to cutting-edge applications in areas such as healthcare, finance, robotics, and ethics. Each chapter includes detailed explanations of the algorithms, techniques, and mathematical concepts that form the backbone of AI systems, ensuring readers gain a deep understanding of how these algorithms work and how they can be applied effectively. In addition to the technical discussions, the book delves into the social, ethical, and regulatory considerations surrounding the development of AI technologies. As AI continues to impact every facet of society, understanding its broader implications is critical for students, researchers, practitioners, and decision-makers alike. Key Features: Clear explanations of complex AI algorithms, making them accessible to readers with varying technical backgrounds. In-depth coverage of real-world AI applications in fields such as healthcare, business, finance, autonomous systems, and robotics. A focus on the ethical and societal challenges of AI, including bias, fairness, privacy, and the future of AI governance. Practical insights into the tools, frameworks, and techniques used by AI professionals to develop and deploy intelligent systems. A structured learning path, from fundamental concepts to advanced applications, with practical examples, case studies, and exercises to solidify understanding. Whether you are a student aiming to explore the world of AI, a developer looking to implement AI algorithms, or an industry professional wanting to understand AI's impact on your field, this book provides the knowledge and guidance you need to harness the power of Artificial Intelligence.
From Natural To Artificial Intelligence
DOWNLOAD
Author : Ricardo López-Ruiz
language : en
Publisher:
Release Date : 2018
From Natural To Artificial Intelligence written by Ricardo López-Ruiz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Algorithms categories.
Artificial Intelligence And Natural Algorithms
DOWNLOAD
Author : Rijwan Khan
language : en
Publisher: Bentham Science Publishers
Release Date : 2022-09-23
Artificial Intelligence And Natural Algorithms written by Rijwan Khan and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-23 with Computers categories.
This book informs the reader about applications of Artificial Intelligence (AI) and nature-inspired algorithms in different situations. Each chapter in this book is written by topic experts on AI, nature-inspired algorithms and data science. The basic concepts relevant to these topics are explained, including evolutionary computing (EC), artificial neural networks (ANN), swarm intelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimization algorithms for data analysis. The contents include algorithms that can be used in systems designed for plant science research, load balancing, environmental analysis and healthcare. The goal of the book is to equip the reader - students and data analysts - with the information needed to apply basic AI algorithms to resolve actual problems encountered in a professional environment.