Pattern Recognition and Machine Learning
Christopher M. Bishop
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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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Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches
Akash Kumar Bhoi
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Learning OpenCV 3
Adrian Kaehler
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Multiple View Geometry in Computer Vision
Richard (Australian National University, Canberra) Hartley
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Computer Vision : Models, Learning, and Inference
Simon J. D. (University College London) Prince
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Practical Deep Learning for Cloud and Mobile : Real-World AI & Computer Vision Projects Using Python, Keras & TensorFlow
Anirudh Koul
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Computer Vision: A Modern Approach : International Edition
David Forsyth
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Data Mining : Concepts and Techniques
Jiawei (Professor, Department of Computer ScienceUniversity of Il Han
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Computer Vision : Algorithms and Applications
Richard Szeliski
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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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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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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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Artificial Intelligence for Virtual Reality
Jude Hemanth
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Machine Learning for Biomedical Applications : With Scikit-Learn and PyTorch
Maria (Senior Lecturer in Medical Imaging, Department of Perin Deprez
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Computer Vision and Image Analysis for Industry 4.0
Nazmul (University of Ulster, Magee, UK) Siddique
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Technological Prospects and Social Applications of Society 5.0
Lavanya (Amity university, Noida, India.) Sharma
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Handbook of Augmented and Virtual Reality
Sumit Badotra
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Augmented and Virtual Reality in Industry 5.0
Richa Goel
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Augmented and Virtual Reality in Social Learning : Technological Impacts and Challenges
Rajendra Kumar
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Challenges and Applications for Implementing Machine Learning in Computer Vision
Ramgopal Kashyap
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The The Computer Vision Workshop : Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
Hafsa Asad
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Computer Vision for Structural Dynamics and Health Monitoring
Dongming Feng
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