Deep Learning for Finance : Creating Machine & Deep Learning Models for Trading in Python
Sofien Kaabar
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How to Speak Whale : A Voyage into the Future of Animal Communication
Tom Mustill
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Generative AI on Aws : Building Context-Aware Multimodal Reasoning Applications
Chris Fregly
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Llms and Generative AI for Healthcare : The Next Frontier
Kerrie Holley
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Quick Start Guide to Large Language Models : Strategies and Best Practices for Using ChatGPT and Other LLMs
Sinan Ozdemir
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Pattern and Chaos in Art, Science and Everyday Life : Critical Intersections and Creative Practice
Sarah (Norwich University of the Arts, UK) Horton
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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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Machine Learning with Python : Principles and Practical Techniques
Parteek (Thapar University, India) Bhatia
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Machine Learning for Archaeological Applications in R
Denisse L. (Instituto Nacional de Antropologia e Historia) Argote
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Quick Start Guide to Large Language Models
Sinan Ozdemir
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Modern Computer Vision with PyTorch : A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
V Kishore Ayyadevara
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Extending Creativity with Adobe Firefly : Create striking visuals, add text effects, and edit design elements faster with text prompts
Rollan Banez
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Microsoft Azure AI Fundamentals AI-900 Exam Guide : Gain proficiency in Azure AI and machine learning concepts and services to excel in the AI-900 exam
Aaron Guilmette
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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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MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part V
Stevan Rudinac
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Pattern Recognition : Introduction, Features, Classifiers and Principles
Jurgen Beyerer
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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications
Jamal Amani Rad
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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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Sacred Geometry : How to use cosmic patterns to power up your life
Jemma Foster
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Biometrics: A Very Short Introduction
Michael (Professor of Computer Vision, University of Kent) Fairhurst
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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 and Machine Learning
Christopher M. Bishop
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