Machine Learning with Noisy Labels : Definitions, Theory, Techniques and Solutions
Gustavo (Professor of AI and Machine Learning, Centre for Vi Carneiro
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Add to BasketIntelligent Fractal-Based Image Analysis : Applications in Pattern Recognition and Machine Vision
Soumya Ranjan (Assistant Professor, Amity School of Engineering Nayak
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Strong Gravitational Lensing in the Era of Big Data (IAU S381)
Hannah (Max Planck Institute for Astrophysics, Germany) Stacey
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Pattern Recognition : 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19–22, 2023, Proceedings
Ullrich Kothe
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Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches
Akash Kumar Bhoi
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Pattern Recognition : Introduction, Features, Classifiers and Principles
Jurgen Beyerer
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Neural Networks for Pattern Recognition
Christopher M. (, Microsoft Research) Bishop
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Add to BasketLinear Algebra for Everyone
Gilbert (Massachusetts Institute of Technology) Strang
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High-Dimensional Probability : An Introduction with Applications in Data Science
Roman (University of California, Irvine) Vershynin
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. (University of California, Berkeley) Wainwright
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Data Mining : The Textbook
Charu C. Aggarwal
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Pattern Recognition
Konstantinos (Institute for Space Applications & Remote S Koutroumbas
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Machine Learning Refined : Foundations, Algorithms, and Applications
Jeremy (Northwestern University, Illinois) Watt
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Data Mining and Machine Learning : Fundamental Concepts and Algorithms
Mohammed J. (Rensselaer Polytechnic Institute, New York) Zaki
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Mining of Massive Datasets
Jure (Stanford University, California) Leskovec
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Mathematics for Machine Learning
Marc Peter (University College London) Deisenroth
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Natural Language Processing : A Machine Learning Perspective
Yue Zhang
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Inference and Learning from Data: Volume 2 : Inference
Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
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Introduction to Environmental Data Science
William W. (University of British Columbia, Vancouver) Hsieh
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Introduction to Graph Signal Processing
Antonio (University of Southern California) Ortega
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Inference and Learning from Data: Volume 1 : Foundations
Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
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Inference and Learning from Data: Volume 3 : Learning
Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
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Fundamentals of Music Processing : Using Python and Jupyter Notebooks
Meinard Muller
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Touchless Fingerprint Biometrics
Ruggero Donida Labati
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