Data Mining : Concepts and Techniques
Jiawei (Professor, Department of Computer ScienceUniversity of Il Han
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Deep Learning on Graphs
Yao (Michigan State University) Ma
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Computer Vision : Algorithms and Applications
Richard Szeliski
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Explainable AI for Practitioners : Designing and Implementing Explainable ML Solutions
Michael Munn
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Computer Vision : Principles, Algorithms, Applications, Learning
E. R. (Emeritus Professor of Machine Vision, Royal Holloway, U Davies
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The Birth of Computer Vision
James E. Dobson
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Machine Learning : A Constraint-Based Approach
Marco (Department of Information Engineering and Mathematics, Un Gori
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Practical Computer Vision Applications Using Deep Learning with CNNs : With Detailed Examples in Python Using TensorFlow and Kivy
Ahmed Fawzy Gad
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Robotic Vision : Fundamental Algorithms in MATLAB®
Peter Corke
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Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
Jean H (Univ Of Pennsylvania, Usa) Gallier
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Machine Learning and Deep Learning Techniques for Medical Image Recognition
Ben Othman Soufiene
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Intelligent Network Video : Understanding Modern Video Surveillance Systems
Fredrik Nilsson
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Machine Learning Applications : From Computer Vision to Robotics
Indranath (Tongmyong University, South Korea) Chatterjee
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Pixels & Paintings : Foundations of Computer-assisted Connoisseurship
David G. (MIT; University of Maryland; Wellesley College; Stanf Stork
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AI and ML for Coders : A Comprehensive Guide to Artificial Intelligence and Machine Learning Techniques, Tools, Real-World Applications, and Ethical Considerations for Modern Programmers
Andrew Hinton
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Developing Kaggle Notebooks : Pave your way to becoming a Kaggle Notebooks Grandmaster
Gabriel Preda
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Add to BasketVideo Traffic Analysis for Abnormal Events Detection and Classification
Arun Kumar H D
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3-D Computer Vision : Principles, Algorithms and Applications
Yu-Jin Zhang
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The Digital Revolution Navigating the Future of Technology
Praia Patel
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Mastering OpenCV with Python : Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects
Ayush Vaishya
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An Introduction to Image Classification : From Designed Models to End-to-End Learning
Klaus D. Toennies
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Biometric Recognition : 17th Chinese Conference, CCBR 2023, Xuzhou, China, December 1–3, 2023, Proceedings
Wei Jia
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