Generative AI on Aws : Building Context-Aware Multimodal Reasoning Applications
Chris Fregly
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Deep Learning for Finance : Creating Machine & Deep Learning Models for Trading in Python
Sofien Kaabar
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Tangles : A Structural Approach to Artificial Intelligence in the Empirical Sciences
Reinhard (Universitat Hamburg) Diestel
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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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Pattern Recognition Applications and Methods : 12th International Conference, ICPRAM 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers
Maria De Marsico
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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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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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AI at the Edge : Solving Real-World Problems with Embedded Machine Learning
Daniel Situnayake
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Outlier Analysis
Charu C. Aggarwal
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Foundations of Data Science
Avrim Blum
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The Cambridge Handbook of Cognitive Linguistics
Barbara (University of British Columbia, Vancouver) Dancygier
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Automated Machine Learning : Methods, Systems, Challenges
Frank Hutter
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Data Mining : The Textbook
Charu C. Aggarwal
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Quantum Computing : Computer Science, Physics, And Mathematics
Rob Botwright
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Neural Network Programming : How To Create Modern AI Systems With Python, Tensorflow, And Keras
Rob Botwright
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Algorithmic High-Dimensional Robust Statistics
Ilias (University of Wisconsin-Madison) Diakonikolas
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Introduction to Deep Learning : From Logical Calculus to Artificial Intelligence
Sandro Skansi
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Introduction to Statistical Pattern Recognition
Keinosuke Fukunaga
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Pattern Recognition and Neural Networks
Brian D. (University of Oxford) Ripley
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Flexible Pattern Matching in Strings : Practical On-Line Search Algorithms for Texts and Biological Sequences
Gonzalo Navarro
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Density Ratio Estimation in Machine Learning
Masashi (Tokyo Institute of Technology) Sugiyama
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