Generative AI on Aws : Building Context-Aware Multimodal Reasoning Applications
Chris Fregly
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Machine Vision for Industry 4.0 : Applications and Case Studies
Roshani (Pimpri Chinchwad College of Engineering, Pune, India) Raut
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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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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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Hannah (Max Planck Institute for Astrophysics, Germany) Stacey
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Tangles : A Structural Approach to Artificial Intelligence in the Empirical Sciences
Reinhard (Universitat Hamburg) Diestel
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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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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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Machine Learning : The Art and Science of Algorithms that Make Sense of Data
Peter (University of Bristol) Flach
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Linear 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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The Data Science Design Manual
Professor Steven S. Skiena
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Hands-On Unsupervised Learning Using Python : How to Build Applied Machine Learning Solutions from Unlabeled Data
Ankur A. Patel
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Pattern Recognition
Konstantinos (Institute for Space Applications & Remote S Koutroumbas
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AI at the Edge : Solving Real-World Problems with Embedded Machine Learning
Daniel Situnayake
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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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The Cambridge Handbook of Cognitive Linguistics
Barbara (University of British Columbia, Vancouver) Dancygier
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Mathematics for Machine Learning
Marc Peter (University College London) Deisenroth
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