280,703 results for machine learning
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- Analsisi Sentimen Penipuan Asuransi Menggunakan Machine LearningRahmadi Setiawan · 2025 · UNILAK
- Analsis Sentimen Terhadap Kripto Menggunakan Metode Machine LearningHaris Hibulloh · 2026 · UNILAK
- Klasifikasi Penjurusan Siswa Smadenganmenggunakan Algoritma Machine LearningFebrian, Ruben · 2024 · Thesis / Dissertation
- Klasifikasi Penjurusan Siswa Sma Dengan Menggunakan Algoritma Machine LearningFebrian, Ruben · 2024 · Thesis / Dissertation
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Machine Learning in Quantum Sciences
…experts. After presenting the key concepts and foundations of machine learning, a subfield of artificial intelligence, its applications in quantum chemistry and physics are presented in an accessible way, enabling readers to engage with emerging literature on machine learning in science. By…
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Machine Learning for Brain Disorders
This book provides readers with an up-to-date and comprehensive guide to both methodological and applicative aspects of machine learning (ML) for brain disorders. The chapters in this book are organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of…
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Machine Learning in Geomechanics 1: Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks
Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics.The two volumes of Machine Learning in Geomechanics aim to…
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Random Matrix Methods for Machine Learning
This book presents a unified theory of random matrices for applications in machine learning, offering a large-dimensional data vision that exploits concentration and universality phenomena. This enables a precise understanding, and possible improvements, of the core mechanisms at play in real-world…
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Thesis / Dissertation Full text
Klasifikasi Penjurusan Siswa Smadenganmenggunakan Algoritma Machine Learning
…dalam proses penjurusan makadimanfaatkannya algoritma klasifikasi machine learning dalamproses penjurusansiswa. Dalam melakukan klasifikasi machine learning, penelitianini menggunakan empat algoritma machine learning yaitu K-Nearest Neighbors, Support Vector Machine, Random Forest dan Naïve Bayes…
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Precision Machine Learning
We explore unique considerations involved in fitting machine learning (ML) models to data with very high precision, as is often required for science applications. We empirically compare various function approximation methods and study how they scale with increasing parameters and data. We find that…
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Machine Learning for Factor Investing : Python Version
Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for…
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xMLC - A Toolkit for Machine Learning Control
xMLC is the second book of this `Machine Learning Tools in Fluid Mechanics' Series and focuses on Machine Learning Control (MLC). The objectives of this book are two-fold: First, provide an introduction to MLC for students, researchers, and newcomers on the field; and second, share an open-source…
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Informed Machine Learning
This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced…
Also available at: DOAB
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Practical Machine Learning
The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application…
Also available at: DOAB
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Applied Machine Learning
This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of learning methods; discusses the conceptualization of problems, data representation, feature engineering, machine learning models; undertakes…
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