280.703 hasil untuk machine learning
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Artikel Jurnal Teks lengkap
Predicting ACL Reconstruction Failure with Machine Learning: Development of Machine Learning Prediction Models
…PURPOSE: To (1) evaluate the predictive performance of different machine learning algorithms for the occurrence of failure in ACLR and (2) identify the most relevant predictors associated with this outcome. STUDY DESIGN: Cohort study; Level of evidence, 3. METHODS: A total of 680 patients who…
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Artikel Jurnal Teks lengkap
BEYOND DATA DELETION: ADDRESSING ANTICOMPETITIVE CONDUCT IN THE ERA OF MACHINE LEARNING
…that their army of data scientists can make sense of all the noise using machine learning. Potential profits encourage companies to seek out data—sometimes unlawfully through collusion. The use of unlawfully collected data in algorithms harms competition. Such data provides a competitive edge that…
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Artikel Jurnal Teks lengkap
Beyond the Iudex Threshold: Human Oversight as the Conscience of Machine Learning
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Skripsi / Tesis / Disertasi Teks lengkap
Klasifikasi Penjurusan Siswa Sma Dengan Menggunakan Algoritma Machine Learning
…dalam proses penjurusan maka dimanfaatkannya algoritma klasifikasi machine learning dalam proses penjurusan siswa. Dalam melakukan klasifikasi machine learning, penelitian ini menggunakan empat algoritma machine learning yaitu K-Nearest Neighbors, Support Vector Machine, Random Forest dan Naïve…
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Artikel Jurnal Teks lengkap
Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning–driven data analysis
BACKGROUND: Machine learning (ML) has emerged as a vital asset for researchers to analyze and extract valuable information from complex datasets. However, developing an effective and robust ML pipeline can present a real challenge, demanding considerable time and effort, thereby impeding research…
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Artikel Jurnal Teks lengkap
Machine Learning Made Easy (MLme): A Comprehensive Toolkit for Machine Learning-Driven Data Analysis
BACKGROUND: Machine learning (ML) has emerged as a vital asset for researchers to analyze and extract valuable information from complex datasets. However, developing an effective and robust ML pipeline can present a real challenge, demanding considerable time and effort, thereby impeding research…
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Artikel Jurnal
Integrating Machine Learning Standards in Disseminating Machine Learning Research
The increasing use of AI-based approaches such as machine learning (ML) across diverse scientific fields presents challenges for reproducibly disseminating and assessing research. As ML becomes integral to a growing range of computationally intensive applications (e.g., clinical research), there is…
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Artikel Jurnal
A Machine Learning-Oriented Survey on Tiny Machine Learning
The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware devices and their learning-based software architectures. TinyML carries an essential role within the fourth and fifth…
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Buku Teks lengkap
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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Buku
INTERPRETABLE MACHINE LEARNING
In recent years, machine learning has rapidly evolved from a theoretical research domain into a core driver of innovation across industries, shaping decision-making processes in finance, healthcare, criminal justice, and beyond. As these intelligent systems increasingly affect real lives and…
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