1.065 hasil untuk machine learning
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Buku
Machine learning it's Algorithms, Models and Applications in finance and biomedical fields and challenges
The monetary and economic system is a great illustration of a complicated system, and it is one of the issues that comes up most often in public discourse and private conversations. It includes a wide variety of players, such as financial institutions, mutual funds, hedge funds, insurance firms…
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Regression Testing in Era of Internet of Things and Machine Learning A practical approach
Intersection of Regression Testing, IoT OS, Combinatorial Testing, and Machine Learning.
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Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning.
…clasificado de texto en procesamiento de lenguaje natural (PLN) basado en machine learning. Conformado de 4 capítulos con la utilidad para el inicio al mundo de la IA de la rama de procesamiento de lenguaje natural con Python en machine learning. El Capítulo 1 menciona conceptos y la evolución de…
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The Practitioner's Book of Advanced AI and Machine Learning Models: From Representation Learning to Foundation Models
The Practitioner's Book of Advanced AI and Machine Learning Models is a practical guide for data scientists and analysts ready to move beyond classical machine learning. In 16 chapters, it builds from neural network foundations to transformers, large language models, fine-tuning with LoRA…
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Artificial Intelligence and Machine Learning by V. Elavenil, G. Suresh Kumar, Jayachandran P., J. Fahamitha
Artificial Intelligence (AI) and Machine Learning (ML) have rapidly transformed from theoretical research domains into powerful technological drivers shaping modern society. From intelligent virtual assistants and recommendation systems to autonomous vehicles and medical diagnostics, AI and ML…
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Intelligent Horizons: Unifying AI, Machine Learning, Cloud Computing, and Big Data for Next-Generation Solutions
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Machine Learning: Concepts, Algorithms and Applications BY Dr.A.V.H.SaiPrasad, Dr.I.Uma Maheswara Rao, Vazralu Munnangi, Gurrala Swetha
In the past two decades, the field of Machine Learning (ML) has evolved from a niche area of computer science into a cornerstone of modern technology and scientific discovery. From personalized recommendations and medical diagnostics to autonomous systems and intelligent decision-making, machine…
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FOUNDATIONS OF INTEGRATIVE INTELLIGENCE Toward a Unified Theory of Machine Learning and Human Reasoning Global Reference
FOUNDATIONS OF INTEGRATIVE INTELLIGENCE Toward a Unified Theory of Machine Learning and Human Reasoning Global Reference
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ML Foundations: A Sequential Analogy Approach to Teaching Machine Learning from Gradient Descent to Constitutional AI
…and backpropagation, (4) convolutional neural networks and transfer learning, and (5) transformer architecture, RLHF, and AI safety alignment. Each chapter introduces a master analogy chain — for example, the transformer is a collaborative research library in which tokenisation assigns catalogue…
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Cavitation in Dam Spillways with Machine Learning: A Comprehensive Reference Combining Hydraulic Engineering and Artificial Intelligence
…engineering, cavitation physics, computational fluid dynamics (CFD), and machine learning (ML) for real-time cavitation risk prediction in dam spillways. The book consists of 25 chapters organized in two parts. Part I covers dam engineering fundamentals, governing equations, cavitation physics…
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Assurance Engineering for Adaptive AI: Testing, Monitoring, and Governing Machine Learning Systems by Sai Reddy Mandala
Artificial Intelligence and Machine Learning are increasingly becoming essential components of modern enterprise applications, digital platforms, and intelligent decision-making systems. As organizations adopt machine learning systems at an expanding scale, ensuring that these systems continue to…
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AI FOR EVERYONE A Simple and Practical Guide to AI, Machine Learning and Modern AI Tools
…The book covers important topics such as Artificial Intelligence, Machine Learning, AI Tools and Applications, Expert Systems, Natural Language Processing (NLP), Problem Solving, and the Ethics and Future of AI. It also explains how AI is used in daily life and in different fields such as…
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Transforming Retail and Paint Manufacturing Supply Chains through Agentic AI, Machine Learning, and Intelligent Data Infrastructure
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