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Design Patterns: Elements of Reusable Object-Oriented Software

Elements of Reusable Object-Oriented Software

by Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides ...

Capturing a wealth of experience about the design of object-oriented software, four top-notch designers present a catalog of simple and succinct solutions to commonly occurring design problems. Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves.The authors begin by ... Read more

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Capturing a wealth of experience about the design of object-oriented software, four top-notch designers present a catalog of simple and succinct solutions to commonly occurring design problems. Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves.The authors begin by
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

by Aurélien Géron ...

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Read more

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Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow)
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Unveiling the Secrets of ChatGPT Inside the Mind of an AI

by Nelson Ambrose ...

"Unveiling the Secrets of ChatGPT: Inside the Mind of an AI" takes readers on a fascinating journey into the inner workings of one of the most advanced language models ever developed. Starting from the basics of AI and natural language processing, this book explains how models like ChatGPT are built, trained, and fine-tuned to understand and generate human-like text.With a focus on the principles ... Read more

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"Unveiling the Secrets of ChatGPT: Inside the Mind of an AI" takes readers on a fascinating journey into the inner workings of one of the most advanced language models ever developed. Starting from the basics of AI and natural language processing, this book explains how models like ChatGPT are built, trained, and fine-tuned to understand and generate human-like text.With a focus on the principles
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Reliable Machine Learning

Applying SRE Principles to ML in Production

by Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, Todd Underwood ...

Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model ... Read more

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Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model
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Mastering openFrameworks: Creative Coding Demystified

by Denis Perevalov ...

Stuffed with practical examples, this book gives clear and effective instructions to build your own fun, stunning, and highly-interactive openFrameworks applications. Each chapter is focused on one topic and has a new theme to it. If you are a visual artist, designer, or programmer interested in creative coding with openFrameworks then this book is for you. Basic knowledge of object-oriented ... Read more

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Stuffed with practical examples, this book gives clear and effective instructions to build your own fun, stunning, and highly-interactive openFrameworks applications. Each chapter is focused on one topic and has a new theme to it. If you are a visual artist, designer, or programmer interested in creative coding with openFrameworks then this book is for you. Basic knowledge of object-oriented
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Semantic Modeling for Data

by Panos Alexopoulos ...

What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics.In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied ... Read more

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What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics.In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied
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"Artificial Intelligence: How Does It Work? And How to Use It?"

by Sabry Fattah ...

In a world increasingly driven by technological advancements, Artificial Intelligence (AI) has emerged as a game-changer, transforming industries and revolutionizing the way we live and work. This book is a must-read guide that takes you on an exhilarating journey into the realm of AI, unraveling its inner workings and empowering you to leverage its potential.This book is meticulously crafted to ... Read more

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In a world increasingly driven by technological advancements, Artificial Intelligence (AI) has emerged as a game-changer, transforming industries and revolutionizing the way we live and work. This book is a must-read guide that takes you on an exhilarating journey into the realm of AI, unraveling its inner workings and empowering you to leverage its potential.This book is meticulously crafted to
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Neural Networks: A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention

by Steven Cooper ...

☆★The Best Neural Networks Book for Beginners★☆If you are looking for a complete beginners guide to learn neural networks with examples, in just a few hours, then you need to continue reading.Have you noticed the increasing prevalence of software that tries to learn from you? More and more, we are interacting with machines and platforms that try to predict what we are looking for. From movie and ... Read more

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☆★The Best Neural Networks Book for Beginners★☆If you are looking for a complete beginners guide to learn neural networks with examples, in just a few hours, then you need to continue reading.Have you noticed the increasing prevalence of software that tries to learn from you? More and more, we are interacting with machines and platforms that try to predict what we are looking for. From movie and
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Building Machine Learning Powered Applications

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by Emmanuel Ameisen ...

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges ... Read more

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Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges
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Foundations of Computer Vision

by Antonio Torralba, Phillip Isola, William T. Freeman ...

Series series Adaptive Computation and Machine Learning series
An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances.Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook ... Read more

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An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances.Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook
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Programming Computer Vision with Python

Tools and algorithms for analyzing images

by Jan Erik Solem ...

If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.Programming Computer Vision with Python explains computer vision in ... Read more

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If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.Programming Computer Vision with Python explains computer vision in
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Agentic Design Patterns

A Hands-On Guide to Building Intelligent Systems

by Antonio Gullí ...

Series series Artificial Intelligence (R0)
This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the ... Read more

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This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the
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Learning OpenCV

Computer Vision with the OpenCV Library

by Gary Bradski, Adrian Kaehler ...

"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the ... Read more

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"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the
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Android Application Programming with OpenCV

For Java developers OpenCV is a fantastic opportunity to benefit from the popularity of image related mobile apps on Android. This book teaches you all you need to know about computer vision with practical projects.

by Joseph Howse ...

For Java developers OpenCV is a fantastic opportunity to benefit from the popularity of image related mobile apps on Android. This book teaches you all you need to know about computer vision with practical projects.Key FeaturesSet up OpenCV and an Android development environment on Windows, Mac, or LinuxCapture and display real-time videos and still imagesManipulate image data using OpenCV and ... Read more

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For Java developers OpenCV is a fantastic opportunity to benefit from the popularity of image related mobile apps on Android. This book teaches you all you need to know about computer vision with practical projects.Key FeaturesSet up OpenCV and an Android development environment on Windows, Mac, or LinuxCapture and display real-time videos and still imagesManipulate image data using OpenCV and
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Practical Deep Learning for Cloud, Mobile, and Edge

Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow

by Anirudh Koul, Siddha Ganju, Meher Kasam ...

Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.Relying on years of ... Read more

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Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.Relying on years of
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Computer Vision

Models, Learning, and Inference

by Simon J. D. Prince ...

This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new ... Read more

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This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new
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Image Blending Techniques and their Application in Underwater Mosaicing

by Ricard Prados, Rafael Garcia, László Neumann ...

Series series Computer Science (R0)
This work proposes strategies and solutions to tackle the problem of building photo-mosaics of very large underwater optical surveys, presenting contributions to the image preprocessing, enhancing and blending steps, and resulting in an improved visual quality of the final photo-mosaic. The text opens with a comprehensive review of mosaicing and blending techniques, before proposing an approach ... Read more

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This work proposes strategies and solutions to tackle the problem of building photo-mosaics of very large underwater optical surveys, presenting contributions to the image preprocessing, enhancing and blending steps, and resulting in an improved visual quality of the final photo-mosaic. The text opens with a comprehensive review of mosaicing and blending techniques, before proposing an approach
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Applied Computing to Support Industry: Innovation and Technology

First International Conference, ACRIT 2019, Ramadi, Iraq, September 15–16, 2019, Revised Selected Papers

Edited by Mohammed I. Khalaf, Dhiya Al-Jumeily, Alexei Lisitsa ...

Series series Springer Nature Proceedings Computer Science
This book constitutes the refereed proceedings of the First International Conference on Applied Computing to Support Industry: Innovation and Technology, ACRIT 2019, held in Ramadi, Iraq, in September 2019.The 38 revised full papers and 1 short paper were carefully reviewed and selected from 159 submissions. The papers of this volume are organized in topical sections on theory, methods and tools ... Read more

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This book constitutes the refereed proceedings of the First International Conference on Applied Computing to Support Industry: Innovation and Technology, ACRIT 2019, held in Ramadi, Iraq, in September 2019.The 38 revised full papers and 1 short paper were carefully reviewed and selected from 159 submissions. The papers of this volume are organized in topical sections on theory, methods and tools
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Open Problems in Spectral Dimensionality Reduction

by Harry Strange, Reyer Zwiggelaar ...

Series series Computer Science (R0)
The last few years have seen a great increase in the amount of data available to scientists, yet many of the techniques used to analyse this data cannot cope with such large datasets. Therefore, strategies need to be employed as a pre-processing step to reduce the number of objects or measurements whilst retaining important information. Spectral dimensionality reduction is one such tool for the ... Read more

€49.99

The last few years have seen a great increase in the amount of data available to scientists, yet many of the techniques used to analyse this data cannot cope with such large datasets. Therefore, strategies need to be employed as a pre-processing step to reduce the number of objects or measurements whilst retaining important information. Spectral dimensionality reduction is one such tool for the
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Semantic Web-based Intelligent Geospatial Web Services

by Peng Yue ...

Series series Computer Science (R0)
By introducing Semantic Web technologies into geospatial Web services, this book addresses the semantic description of geospatial data and standards-based Web services, discovery of geospatial data and services, and generation of composite services. Semantic descriptions for geospatial data, services, and geoprocessing service chains are structured, organized, and registered in geospatial ... Read more

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By introducing Semantic Web technologies into geospatial Web services, this book addresses the semantic description of geospatial data and standards-based Web services, discovery of geospatial data and services, and generation of composite services. Semantic descriptions for geospatial data, services, and geoprocessing service chains are structured, organized, and registered in geospatial
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Transactions on Computational Science XXX

Special Issue on Cyberworlds and Cybersecurity

Edited by Marina L. Gavrilova, C.J. Kenneth Tan, Alexei Sourin ...

Series series Computer Science (R0)
This, the 30th issue of the Transactions on Computational Science journal, is comprised of extended versions of selected papers from the International Conference on Cyberworlds, held in Chongqing, China, in September 2016. The first paper is a position paper giving an outline of current research at the intersection of cybersecurity and cyberworlds, and specifically focusing on mining behavioral ... Read more

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This, the 30th issue of the Transactions on Computational Science journal, is comprised of extended versions of selected papers from the International Conference on Cyberworlds, held in Chongqing, China, in September 2016. The first paper is a position paper giving an outline of current research at the intersection of cybersecurity and cyberworlds, and specifically focusing on mining behavioral
... Read more
Machine Learning and Data Mining in Pattern Recognition

13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings

Edited by Petra Perner ...

Series series Springer Nature Proceedings Computer Science
This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and ... Read more

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This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and
... Read more
Computational Science and Its Applications – ICCSA 2017

17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part IV

Edited by Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Giuseppe Borruso, Carmelo M. Torre, Ana Maria A.C. Rocha, David Taniar, Bernady O. Apduhan, Elena Stankova, Alfredo Cuzzocrea ...

Series Book 4 - Springer Nature Proceedings Computer Science
The six-volume set LNCS 10404-10409 constitutes the refereed proceedings of the 17th International Conference on Computational Science and Its Applications, ICCSA 2017, held in Trieste, Italy, in July 2017.The 313 full papers and 12 short papers included in the 6-volume proceedings set were carefully reviewed and selected from 1052 submissions. Apart from the general tracks, ICCSA 2017 included 43 ... Read more

€49.99

The six-volume set LNCS 10404-10409 constitutes the refereed proceedings of the 17th International Conference on Computational Science and Its Applications, ICCSA 2017, held in Trieste, Italy, in July 2017.The 313 full papers and 12 short papers included in the 6-volume proceedings set were carefully reviewed and selected from 1052 submissions. Apart from the general tracks, ICCSA 2017 included 43
... Read more
Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers

14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers

Edited by Oscar Camara, Esther Puyol-Antón, Maxime Sermesant, Avan Suinesiaputra, Qian Tao, Chengyan Wang, Alistair Young ...

Series series Springer Nature Proceedings Computer Science
This book constitutes the proceedings of the 14th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2023, as well as the Cardiac MRI Reconstruction Challenge, CMRxRecon Challenge.There was a total of 53 submissions to the workshop.The 24 regular workshop papers included in this volume were carefully reviewed and selected from 29 paper submissions. They ... Read more

€69.99

This book constitutes the proceedings of the 14th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2023, as well as the Cardiac MRI Reconstruction Challenge, CMRxRecon Challenge.There was a total of 53 submissions to the workshop.The 24 regular workshop papers included in this volume were carefully reviewed and selected from 29 paper submissions. They
... Read more

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Recommended For You

Computer Vision eBooks

Design Patterns: Elements of Reusable Object-Oriented Software

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Unveiling the Secrets of ChatGPT Inside the Mind of an AI

Reliable Machine Learning

Mastering openFrameworks: Creative Coding Demystified

Semantic Modeling for Data

"Artificial Intelligence: How Does It Work? And How to Use It?"

Neural Networks: A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention

Building Machine Learning Powered Applications

Foundations of Computer Vision

Programming Computer Vision with Python

Agentic Design Patterns

Learning OpenCV

Android Application Programming with OpenCV

Practical Deep Learning for Cloud, Mobile, and Edge

Computer Vision

Image Blending Techniques and their Application in Underwater Mosaicing

Applied Computing to Support Industry: Innovation and Technology

Open Problems in Spectral Dimensionality Reduction

Semantic Web-based Intelligent Geospatial Web Services

Transactions on Computational Science XXX

Machine Learning and Data Mining in Pattern Recognition

Computational Science and Its Applications – ICCSA 2017

Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers