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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Machine Learning with Python : Principles and Practical Techniques
Parteek (Thapar University, India) Bhatia
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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 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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Understanding Machine Learning : From Theory to Algorithms
Shai Shalev-Shwartz
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Outlier Analysis
Charu C. Aggarwal
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The Cambridge Handbook of Cognitive Linguistics
Barbara (University of British Columbia, Vancouver) Dancygier
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Foundations of Data Science
Avrim Blum
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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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Understanding Machine Learning : From Theory to Algorithms
Shai Shalev-Shwartz
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The Data Science Design Manual
Steven S. Skiena
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Computer Age Statistical Inference : Algorithms, Evidence, and Data Science
Bradley Efron
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Evaluating Learning Algorithms : A Classification Perspective
Nathalie Japkowicz
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Automated Machine Learning : Methods, Systems, Challenges
Frank Hutter
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High-Dimensional Probability : An Introduction with Applications in Data Science
Roman Vershynin
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Face Detection and Recognition : Theory and Practice
Asit Kumar Datta
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