Deep Learning for Finance : Creating Machine & Deep Learning Models for Trading in Python
Sofien Kaabar
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Pattern and Chaos in Art, Science and Everyday Life : Critical Intersections and Creative Practice
Sarah (Norwich University of the Arts, UK) Horton
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Quick Start Guide to Large Language Models
Sinan Ozdemir
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Intelligent 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 : 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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Mathematics for Machine Learning
Marc Peter (University College London) Deisenroth
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. (University of California, Berkeley) Wainwright
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Biometrics: A Very Short Introduction
Michael (Professor of Computer Vision, University of Kent) Fairhurst
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Pattern Recognition
Konstantinos (Institute for Space Applications & Remote S Koutroumbas
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Data Matching : Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
Peter Christen
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Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications
Laura Igual
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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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Patterns from the Air : Phase 4 Set 2 Stretch and Challenge
Liz Miles
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Inference and Learning from Data: Volume 2 : Inference
Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
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Data Mining : The Textbook
Charu C. Aggarwal
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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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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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