Computer Vision & Pattern Recognition

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Computer Vision & Pattern Recognition

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Computer Vision & Pattern Recognition

Computer Vision & Pattern Recognition

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Computer Vision & Pattern Recognition

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems - Géron

Mathematics for Machine Learning - Marc Peter Deisenroth

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play - David Foster

Dive Into Deep Learning - Aston Zhang

Quick Start Guide to Large Language Models: Strategies and Best Practices for Chatgpt, Embeddings, Fine-Tuning, and Multimodal AI - Sinan Ozdemir

Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically - Jeff Prosise

Modern Computer Vision with PyTorch - Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI - V. Kishore Ayyadevara

A Windows 11 Users Guide For Senior Citizens: A Quick Reference Guide to the New Windows 11 Operating System - Christopher Brewer

Building Machine Learning Powered Applications - Emmanuel Ameisen

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning - Daniel Situnayake

TensorFlow 2.0 Computer Vision Cookbook: Implement machine learning solutions to overcome various computer vision challenges - Jesús Martínez

Raising AI-Smart Kids: A Practical Guide for Parents to Navigate the Future of Artificial Intelligence - Stephanie Worrell

Machine Learning: Make Your Own Recommender System - Oliver Theobald

Machine Learning: Step-By-Step Guide to Implement Machine Learning Algorithms with Python - Rudolph Russell

Learning OpenCV 4 Computer Vision with Python - Joseph Howse

Figure It Out: Getting from Information to Understanding - Stephen P. Anderson

The Ethics of AI - Alberto Chierici

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data - Ankur A. Patel

Regenerating Learning: Transforming How You Learn with Generative AI - Patrick Parra Pennefather

Tinyml - Pete Warden

Data Analytics For Beginners: Your Ultimate Guide To Learn And Master Data Analysis - Get Your Business Intelligence Right And Accelerate Growth - Victor Finch

Reliable Machine Learning: Applying Sre Principles to ML in Production - Cathy Chen

Computer Vision: Algorithms and Applications - Richard Szeliski

The Ultimate Modern Guide to Artificial Intelligence: Including Machine Learning, Deep Learning, IoT, Data Science, Robotics, The Future of Jobs, Requ - Enamul Haque

The Perception Machine: Our Photographic Future Between the Eye and AI - Joanna Zylinska

The Potential of Generative AI: Transforming Technology, Business and Art Through Innovative AI Applications - Divit Gupta

Inside PixInsight

#1 AI for Beginners Guide: AI Made Simple: Your Step-by-Step Guide to Understanding, Using, and Thriving with Artificial Intelligence in Everyday Life - Michael Smith

Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images - Jan Solem

Variational Bayesian Learning Theory - Shinichi Nakajima

Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions - Michael Munn

Mastering OpenCV with Python - Ayush Vaishya

Practical Deep Learning for Cloud and Mobile - Anirudh Koul

Visualizing Data in R 4: Graphics Using the Base, Graphics, Stats, and Ggplot2 Packages - Margot Tollefson

The Birth of Computer Vision - James E. Dobson

Understanding Large Language Models: A Guide to Transformer Architectures and NLP Applications - Anand Vemula

The Python Bible Volume 7: Computer Vision (OpenCV, Object Recognition) - Florian Dedov

ISO 42001 AI Management System: Comprehensive Guide to Implementation and Best Practices - Anand Vemula

Machine Learning: Guia Paso a Paso Para Implementar Algoritmos de Machine Learning Con Python (Machine Learning En Espanol/ Machine Lear - Rudolph Russell

Generative AI in Healthcare: Innovations and Applications - Anand Vemula

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