Deep Learning for Finance : Creating Machine & Deep Learning Models for Trading in Python
Sofien Kaabar
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Generative AI on Aws : Building Context-Aware Multimodal Reasoning Applications
Chris Fregly
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Tangles : A Structural Approach to Artificial Intelligence in the Empirical Sciences
Reinhard (Universitat Hamburg) Diestel
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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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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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Automated Machine Learning : Methods, Systems, Challenges
Frank Hutter
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Virtual and Augmented Reality (VR/AR) : Foundations and Methods of Extended Realities (XR)
Ralf Doerner
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Data Mining : The Textbook
Charu C. Aggarwal
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Algorithmic High-Dimensional Robust Statistics
Ilias (University of Wisconsin-Madison) Diakonikolas
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Scaling up Machine Learning : Parallel and Distributed Approaches
Ron Bekkerman
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An Introduction to Optimization on Smooth Manifolds
Nicolas (Ecole Polytechnique Federale de Lausanne) Boumal
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An Intuitive Exploration of Artificial Intelligence : Theory and Applications of Deep Learning
Simant Dube
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Building Computer Vision Projects with OpenCV 4 and C++ : Implement complex computer vision algorithms and explore deep learning and face detection
David Millan Escriva
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Learn Amazon SageMaker : A guide to building, training, and deploying machine learning models for developers and data scientists
Julien Simon
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Human and Machine Learning : Visible, Explainable, Trustworthy and Transparent
Jianlong Zhou
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