603 hasil untuk machine learning
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Scientific Machine Learning
Progress release of the second edition of Scientific Machine Learning by Ahmed Fathi. This PDF contains the revised full text of Chapters 1–13: foundations; equation discovery and model discrepancy; and structure-preserving dynamics. Its contents pages give page numbers only for those included…
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Machine Learning Course
1- Machine Learning Is the use and development of computer systems that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyze and draw inferences from patterns in data. 2- Syllabus: Introduction (lecture I) Linear & Non-Linear…
Dari koleksi institusi
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
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Machine Learning by Design
Machine Learning by Design: From Problem Framing to Reliable Systems is a concept-first textbook in machine learning for IOAI students, computer science undergraduates, instructors, and serious self-learners. Instead of presenting machine learning as only a catalog of models or a software toolkit…
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MACHINE LEARNING MADE EASY
Machine Learning Made Easy: A Complete Beginner's Guide Authors: Dr. M. Senthil, Dr. D. Sharada Mani, P.seethalakshmi, KASIPOGULA BHASKARA RAO Description: Unlock the transformative power of machine learning with "Machine Learning Made Easy: A Complete Beginner's Guide." Designed specifically for…
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INTRODUCTION TO MACHINE LEARNING
Welcome to "Introduction to Machine Learning," a collaborative effort from a diverse group of authors, each bringing unique perspectives and expertise to the fascinating world of machine learning. As we stand at the intersection of computer science, mathematics, and data analysis, machine learning…
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Artificial Intelligence and Machine Learning
This book provides a comprehensive introduction to the fields of Artificial Intelligence (AI) and Machine Learning (ML), tailored for students, educators, and technology enthusiasts. It offers a structured and accessible exploration of core concepts, practical techniques, and real-world…
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Regression Testing and Machine Learning
Among other areas of interest, I am life long learner of Software Testing. This Book is an intersection of Regression Testing and Machine Learning. This Book is for enthusiasts of Regression Testing and Machine Learning. I have liberally used a few of my own chapter sections from my other Books. A…
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Machine Learning: Theory and Practice
The field of machine learning (ML) has rapidly evolved into one of the most impactful areas of computer science and artificial intelligence. Models once considered experimental are now powering applications we use every day—from recommendation systems and voice assistants to fraud detection and…
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Scientific Machine Learning — First Edition (2026)
Scientific Machine Learning is a concept-first, evidence-aware graduate textbook by Ahmed Fathi, Alexandria University. Its 34 chapters in eight parts cover foundations, equation discovery, structure-preserving dynamics, physics-informed and operator-learning methods, inverse problems and…
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Machine Learning Foundations: Theory and Applications
Machine learning (ML) has rapidly become one of the most influential fields in modern science and technology, driving advancements in diverse domains such as healthcare, finance, transportation, and entertainment. "Machine Learning Foundations: Theory and Applications" is a collaborative effort by…
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Artificial Intelligence with Machine Learning Concepts
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the way we live, work, and interact with the world around us. The rapid advancements in these fields have not only transformed technology but also brought about a paradigm shift across various industries, including…
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AI & Machine Learning: Transforming the Future
These terms, artificial intelligence (AI) and machine learning (ML), are more than simply catchphrases; they signify a profound change in the way we see, engage with, and influence the world. Rapid developments in AI and ML have led to a technology renaissance that is changing business processes…
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Data Science and Reliable Machine Learning
…presents their contributions to emerging methodologies in data science, machine learning, applied and human-centered computing.
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Statistical and Dynamical Perspectives on Machine Learning
Machine learning can be understood through many lenses. Among them, two perspectives have proven particularly powerful: the statistical and the dynamical. The statistical view focuses on generalization — how models trained on finite data can perform well on unseen examples. It introduces concepts…