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Titre : Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems Type de document : texte imprimé Auteurs : Aurélien Géron (19..-...), Auteur Mention d'édition : 2nd edition Editeur : Sebastopol (Calif.) : O'Reilly Media Année de publication : 2019 Importance : 819 p. Présentation : ill. en coul., couv. ill. en coul Format : 24 cm ISBN/ISSN/EAN : 978-1-4920-3264-9 Langues : Anglais (eng) Tags : Apprentissage automatique Intelligence artificielle Machine learning Artificial intelligence Index. décimale : 006.3 Intelligence artificielle Résumé : "Through a 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. The updated edition of this best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques that you can quickly put to use. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. All code is available on GitHub. It has been updated to TensorFlow 2 and the latest version of Scikit-Learn. - Learn Machine Learning fundamentals through an end-to-end project using Scikit-Learn and pandas. - Build and train many neural network architectures for classification and regression using TensorFlow 2 ; - Discover object detection, semantic segmentation, attention mechanisms, language models, GANs, and more ; - Explore the Keras API, the official high-level API for TensorFlow 2 ; - Productionize TensorFlow models using TensorFlow's Data API, distribution strategies API, TF Transform, and TF-Serving ; - Deploy on Google Cloud AI Platform or on mobile devices ; - Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection ; - Create autonomous learning agents with Reinforcement Learning, including using the TF-Agents library. Biographie d'Aurélien Géron : Aurélien Géron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012." Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems [texte imprimé] / Aurélien Géron (19..-...), Auteur . - 2nd edition . - Sebastopol (Calif.) : O'Reilly Media, 2019 . - 819 p. : ill. en coul., couv. ill. en coul ; 24 cm.
ISBN : 978-1-4920-3264-9
Langues : Anglais (eng)
Tags : Apprentissage automatique Intelligence artificielle Machine learning Artificial intelligence Index. décimale : 006.3 Intelligence artificielle Résumé : "Through a 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. The updated edition of this best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques that you can quickly put to use. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. All code is available on GitHub. It has been updated to TensorFlow 2 and the latest version of Scikit-Learn. - Learn Machine Learning fundamentals through an end-to-end project using Scikit-Learn and pandas. - Build and train many neural network architectures for classification and regression using TensorFlow 2 ; - Discover object detection, semantic segmentation, attention mechanisms, language models, GANs, and more ; - Explore the Keras API, the official high-level API for TensorFlow 2 ; - Productionize TensorFlow models using TensorFlow's Data API, distribution strategies API, TF Transform, and TF-Serving ; - Deploy on Google Cloud AI Platform or on mobile devices ; - Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection ; - Create autonomous learning agents with Reinforcement Learning, including using the TF-Agents library. Biographie d'Aurélien Géron : Aurélien Géron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012." Réservation
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Code-barres Cote Support Localisation Section Disponibilité aucun exemplaire Convergence. Artificial intelligence and quantum computing
Titre : Convergence. Artificial intelligence and quantum computing : social, economic, and policy impacts Type de document : texte imprimé Auteurs : Greg Viggiano, Auteur Editeur : Hoboken : Wiley Année de publication : 2023 Importance : 272 p. Format : 23 cm ISBN/ISSN/EAN : 978-1-394-17410-2 Langues : Anglais (eng) Tags : computer science artificial intelligence Index. décimale : 006.3 Intelligence artificielle Résumé : A collection of essays from 20 renowned, international authors working in industry, academia, and government, Convergence: Artificial Intelligence and Quantum Computing explains the impending convergence of artificial intelligence and quantum computing. A diversity of viewpoints is presented, each offering their view of this coming watershed event.
In the book, you'll discover that we're on the cusp of seeing the stuff of science fiction become reality, with huge implications for ripping up the existing social fabric, global economy, and current geopolitical order. Along with an incisive foreword by Hugo- and Nebula-award winning author David Brin, you'll also find:
- Explorations of the increasing pace of technological development
- Explanations of why seemingly unusual and surprising breakthroughs might be just around the corner
- Maps to navigate the potential minefields that await us as AI and quantum computing come together
A fascinating and thought-provoking compilation of insights from some of the leading technological voices in the world, Convergence convincingly argues that we should prepare for a world in which very little will remain the same and shows us how to get ready.Convergence. Artificial intelligence and quantum computing : social, economic, and policy impacts [texte imprimé] / Greg Viggiano, Auteur . - Hoboken : Wiley, 2023 . - 272 p. ; 23 cm.
ISBN : 978-1-394-17410-2
Langues : Anglais (eng)
Tags : computer science artificial intelligence Index. décimale : 006.3 Intelligence artificielle Résumé : A collection of essays from 20 renowned, international authors working in industry, academia, and government, Convergence: Artificial Intelligence and Quantum Computing explains the impending convergence of artificial intelligence and quantum computing. A diversity of viewpoints is presented, each offering their view of this coming watershed event.
In the book, you'll discover that we're on the cusp of seeing the stuff of science fiction become reality, with huge implications for ripping up the existing social fabric, global economy, and current geopolitical order. Along with an incisive foreword by Hugo- and Nebula-award winning author David Brin, you'll also find:
- Explorations of the increasing pace of technological development
- Explanations of why seemingly unusual and surprising breakthroughs might be just around the corner
- Maps to navigate the potential minefields that await us as AI and quantum computing come together
A fascinating and thought-provoking compilation of insights from some of the leading technological voices in the world, Convergence convincingly argues that we should prepare for a world in which very little will remain the same and shows us how to get ready.Exemplaires
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Titre : Artificial intelligence for science : a deep learning revolution Type de document : document électronique Auteurs : Alok Nidhi Choudhary (1961-...), Editeur scientifique ; Geoffrey Charles Fox, Editeur scientifique ; Anthony J. G Hey (1946-...), Editeur scientifique Editeur : New Jersey : World Scientific Année de publication : 2023 Importance : 790 p. Présentation : ill., couv., ill. en coul Format : 1 ressource en ligne ISBN/ISSN/EAN : 978-981-1265662-- Langues : Anglais (eng) Tags : Artificial intelligence History Discoveries in science Intelligence artificielle Histoire Découvertes scientifiques Index. décimale : 006.3 Intelligence artificielle Résumé : "This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities. Huge quantities of experimental data come from many sources - telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential. The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress"-- En ligne : https://doi.org/10.1142/13123 Artificial intelligence for science : a deep learning revolution [document électronique] / Alok Nidhi Choudhary (1961-...), Editeur scientifique ; Geoffrey Charles Fox, Editeur scientifique ; Anthony J. G Hey (1946-...), Editeur scientifique . - New Jersey : World Scientific, 2023 . - 790 p. : ill., couv., ill. en coul ; 1 ressource en ligne.
ISBN : 978-981-1265662--
Langues : Anglais (eng)
Tags : Artificial intelligence History Discoveries in science Intelligence artificielle Histoire Découvertes scientifiques Index. décimale : 006.3 Intelligence artificielle Résumé : "This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities. Huge quantities of experimental data come from many sources - telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential. The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress"-- En ligne : https://doi.org/10.1142/13123 Réservation
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Titre : Productionizing AI : how to deliver AI B2B solutions with cloud and Python Type de document : texte imprimé Auteurs : Barry Walsh, Auteur Editeur : Berkeley, CA : Apress Année de publication : 2023 Importance : 373 p. Format : 25 cm ISBN/ISSN/EAN : 978-1-4842-8816-0 Langues : Anglais (eng) Tags : Artificial Intelligence Machine Learning Python Artificial intelligence Machine learning Python (Computer program language) Index. décimale : 006.3 Intelligence artificielle Résumé : This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app. From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there you'll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. You'll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions. The book is intended for those whose role demands overcoming budgetary barriers or constraints in accessing cloud credits to undertake the often difficult process of developing and deploying an AI solution. You will: Develop and deliver production-grade AI in one month Deploy AI solutions at a low cost Work around Big Tech dominance and develop MVPs on the cheap Create demo-ready solutions without overly complex python scripts/notebooks Productionizing AI : how to deliver AI B2B solutions with cloud and Python [texte imprimé] / Barry Walsh, Auteur . - Berkeley, CA : Apress, 2023 . - 373 p. ; 25 cm.
ISBN : 978-1-4842-8816-0
Langues : Anglais (eng)
Tags : Artificial Intelligence Machine Learning Python Artificial intelligence Machine learning Python (Computer program language) Index. décimale : 006.3 Intelligence artificielle Résumé : This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app. From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there you'll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. You'll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions. The book is intended for those whose role demands overcoming budgetary barriers or constraints in accessing cloud credits to undertake the often difficult process of developing and deploying an AI solution. You will: Develop and deliver production-grade AI in one month Deploy AI solutions at a low cost Work around Big Tech dominance and develop MVPs on the cheap Create demo-ready solutions without overly complex python scripts/notebooks Réservation
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Titre : Artificial intelligence in industry 4.0 and 5G technology Type de document : texte imprimé Auteurs : Pandian Vasant, Auteur ; Elias Munapo, Auteur ; J. Joshua Thomas, Auteur ; Gerhard-Wilhelm Weber, Auteur Editeur : Hoboken : Wiley Année de publication : 2022 Importance : 321 p. Format : 23 cm ISBN/ISSN/EAN : 978-1-119-79876-7 Langues : Anglais (eng) Tags : Computer Science Artificial Intelligence Index. décimale : 006.3 Intelligence artificielle Résumé : As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches. Artificial intelligence in industry 4.0 and 5G technology [texte imprimé] / Pandian Vasant, Auteur ; Elias Munapo, Auteur ; J. Joshua Thomas, Auteur ; Gerhard-Wilhelm Weber, Auteur . - Hoboken : Wiley, 2022 . - 321 p. ; 23 cm.
ISBN : 978-1-119-79876-7
Langues : Anglais (eng)
Tags : Computer Science Artificial Intelligence Index. décimale : 006.3 Intelligence artificielle Résumé : As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches. Réservation
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