1.065 hasil untuk machine learning
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Inside ShellLite: The Architecture of a Natural Language Programming System
…English like commands while still maintaining the precision required for machine execution. This book documents the complete internal architecture of ShellLite as a case study in human-centered language design. You will explore how to: Apply Cognitive Load Theory to syntax and language-design…
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ARTIFICIAL INTELLIGENCE AND MODERN DATABASE MANAGEMENT
…introduces a comprehensive exploration of how AI technologies—such as machine learning, natural language processing, and predictive analytics—are increasingly embedded within modern database systems. By integrating these capabilities, traditional DBMS functions are significantly enhanced, improving…
Juga tersedia di: Zenodo
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Digital Marketing in the Era of Artificial Intelligence and Big Data
…a comprehensive understanding of how Artificial Intelligence (AI), machine learning, data analytics, and automation are reshaping customer engagement, strategic decision-making, and competitive advantage in digital markets. The authors examine the evolution of digital marketing from traditional…
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Linear Algebra Volume 1 Foundations of Logic, Number Theory, Matrices, and Applications in Data Science and Optimization
…for advanced studies in linear algebra, numerical methods, optimization, machine learning, data science, and related fields. The volume is organized into three complementary parts. The first introduces the fundamentals of mathematical logic, formal reasoning, proof techniques, induction, recursion…
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ADVANCEMENTS IN DIGITAL IMAGE PROCESSING
…in digital image processing and the management of large data utilising machine learning. Students and researchers in subjects including engineering, agriculture, and medical imaging can benefit greatly from reading this book. The ability to grasp and critically evaluate cutting-edge digital imaging…
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INNOVATIVE SENSORS AND AI FOR MONITORING CIVIL ENGINEERING STRUCTURES
…spectrum of topics ranging from sensor types and deployment strategies to machine learning algorithms tailored for civil engineering applications. The authors, experts in their respective fields, provide in-depth insights, practical examples, and case studies to illustrate the transformative impact…
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KNOWLEDGE REASONING AND PLANNING IN ARTIFICIAL INTELLIGENCE
Artificial intelligence, often referred to as machine intelligence, is intelligence that is expressed by machines as opposed to natural intelligence, which is intelligence that is displayed by people and other animals. Machines may learn and improve their intelligence through time. Humans and other…
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Cyber Security Fundamentals
…that principally willing to utilise various Artificial Intelligence and machine learning techniques to enrich their quality in banking and business sectors. This book gives robust impact on the various hacking techniques with ample software business strategies applications with typical case studies.
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Promising anti-cancer compounds using drug design strategies
…screening, and knowledge-based techniques in MTKI design, including machine learning, structure-based, sieving virtual-based, de novo-based, fragment-based, ligand-based, and other related design approaches. After presenting the basic principles, this review outlines the possibilities and…
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Emerging Trends in Multidisciplinary Mathematics, Statistics, Data Science, and Engineering: Theory and Applications
…growth of computational technologies, artificial intelligence, machine learning, and big data analytics has transformed the way scientific investigations are conducted across disciplines. Mathematics continues to serve as the universal language for modelling natural phenomena, engineering systems…
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AI & PYTHON PROGRAMMING FOR PHARMACY
…Geoffrey Hinton, and Yann LeCun (2019), credited with establishing ―deep learning‖ (multilayer neural networks) as a vital component of contemporary computing. The following section will delve deeper into each phase of AI's evolution. The Birth of Artificial Intelligence (1943–1956) The initial…
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AI, ML and IoT for Sustainable Smart Agriculture Practices
…implementation are thoroughly examined. Artificial Intelligence (AI) and Machine Learning (ML) are pivotal in advancing agricultural technology. The content explores the different categories and subsets of AI, including machine learning, deep learning, and natural language processing. The role of…
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The Regulated Banking AI Lakehouse by Kuladeep Sandra
…a unified foundation where data engineering, artificial intelligence, machine learning, governance, compliance, cybersecurity, and business intelligence can operate together within a trusted and regulated environment. This book, The Regulated Banking AI Lakehouse , has been written to provide a…
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ARTIFICIAL INTELLIGENCE FOR MARKETING EXCELLENCE
…experiences, and marketing automation. The book also examines the role of machine learning, deep learning, natural language processing, and big data analytics in enhancing marketing effectiveness and decision-making capabilities. As organizations increasingly rely on digital platforms and…
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DATA MINING AND KNOWLEDGE DISCOVERY IN LARGE-SCALE SYSTEMS
…of the Knowledge Discovery in Databases (KDD) process, statistical and machine learning foundations, and the challenges associated with big data, including volume, velocity, variety, veracity, and value. As outlined in the early chapters, readers are introduced to scalable data mining techniques…
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The Ubuntia AI Policy Simulation Casebook: Four cases in AI governance and public policy
Four decision simulations for policy education, professional learning and workshops. Each case puts participants in a real decision with incomplete evidence, competing stakeholders and a deadline, and asks them to reach a defensible answer. Whose Cloud, Whose Rules? — public-sector AI procurement…
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Data Mining Essentials: Classification and Clustering Techniques
…predictive and descriptive analytics. Classification enables supervised learning from labeled data to predict outcomes and support automated decision systems, while clustering uncovers intrinsic structures in unlabeled data, facilitating exploration, segmentation, and pattern discovery. By…
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Theory of Computation BY Dr.K.Nagi Reddy,Dr.Abdul Rasool MD,Mr.Syed Juber
…in the design of programming and natural language constructs. Abstract machine is also used to solve various computational problems and proving theorems. This book, "Theory of Computation” aims to give a thorough introduction to all aspects of theoretical computer science, namely automata, formal…
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The HTSD Theory: A Structural Monograph on Second-Order Leibniz Operators, Dissipation, and Emergent Time
…reproduction, commercial reprints, database archiving, training of machine learning systems, indexing, text or data mining, derivative works, translations, adaptations, or incorporation into any other publication or medium. Any unauthorized use constitutes an infringement of the author’s…
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