Workflow Patterns : The Definitive Guide
Nick (Queensland University of Technology) Russell
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Introduction to Pattern Recognition : A Matlab Approach
Sergios (professor of machine learning and signal process Theodoridis
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Llms and Generative AI for Healthcare : The Next Frontier
Kerrie Holley
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Pattern Recognition : An Algorithmic Approach
M. Narasimha Murty
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Hands-On Computer Vision with TensorFlow 2 : Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
Benjamin Planche
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Twenty-Five Years Behind Bars : The Proceedings of the Twenty-fifth Anniversary of the U.P.C. at the Smithsonian Institution, September 30, 1999
Alan L. Haberman
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3D papercraft inspirations, Creatures, abstracts and decor collection : 200 plus project images to keep you inspired
Sophie Marcoux
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Learn OpenCV with Python by Examples : Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning
James Chen
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Deep Learning for Computer Vision with SAS : An Introduction
Robert Blanchard
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The Singularity : Building a Better Future
Nishanth Mudkey
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Data Science for Beginners : The Ultimate Guide to Data Analysis, Data Science, Python Machine Learning, and Big Data
John Brush
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Metaverse : A Beginner's Guide to Investing and Making Passive Income in Virtual Lands, Nft, Blockchain and Cryptocurrency + 10 Best Defi Projects and Strategies to Maximize Your Profits
Harper Fraley
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Metaverse Investing & Marketing Book : Guide to Web 3.0, Non-Fungible Tokens (NFTs) Virtual Real Estate, Games, Development and Future of the metaverse.
Doran Pauley
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OpenCV 4 for Secret Agents : Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers, 2nd Edition
Joseph Howse
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Qt 5 and OpenCV 4 Computer Vision Projects : Get up to speed with cross-platform computer vision app development by building seven practical projects
Zhuo Qingliang
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Hands-On Generative Adversarial Networks with Keras : Your guide to implementing next-generation generative adversarial networks
Rafael Valle
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter : Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
Anubhav Singh
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Hands-On Ensemble Learning with Python : Build highly optimized ensemble machine learning models using scikit-learn and Keras
George Kyriakides
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Hands-On Java Deep Learning for Computer Vision : Implement machine learning and neural network methodologies to perform computer vision-related tasks
Klevis Ramo
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Hands-On Deep Learning for IoT : Train neural network models to develop intelligent IoT applications
Md. Rezaul Karim
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Computer Vision Projects with OpenCV and Python 3 : Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
Matthew Rever
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