Author: United States. Forest Service
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 544
Book Description
Position Classification Handbook
Author: United States. Forest Service
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 544
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 544
Book Description
Papers and Proceedings
Author: American Library Association. Annual Conference
Publisher:
ISBN:
Category :
Languages : en
Pages : 480
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 480
Book Description
Classification - Content Regulation and Convergent Media
Author: Australian Law Reform Commission
Publisher: ALRC
ISBN: 0987177737
Category : Censorship
Languages : en
Pages : 404
Book Description
Publisher: ALRC
ISBN: 0987177737
Category : Censorship
Languages : en
Pages : 404
Book Description
Advances in Multilingual and Multimodal Information Retrieval
Author: Cross-Language Evaluation Forum. Workshop
Publisher: Springer Science & Business Media
ISBN: 3540857591
Category : Computers
Languages : en
Pages : 942
Book Description
This book constitutes the thoroughly refereed proceedings of the 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, held in Budapest, Hungary, September 2007. The revised and extended papers were carefully reviewed and selected for inclusion in the book. There are 115 contributions in total and an introduction. The seven distrinct evaluation tracks in CLEF 2007, are designed to test the performance of a wide range of multilingual information access systems or system components. The papers are organized in topical sections on Multilingual Textual Document Retrieval (Ad Hoc), Domain-Specific Information Retrieval (Domain-Specific), Multiple Language Question Answering (QA@CLEF), cross-language retrieval in image collections (Image CLEF), cross-language speech retrieval (CL-SR), multilingual Web retrieval (WebCLEF), cross-language geographical retrieval (GeoCLEF), and CLEF in other evaluations.
Publisher: Springer Science & Business Media
ISBN: 3540857591
Category : Computers
Languages : en
Pages : 942
Book Description
This book constitutes the thoroughly refereed proceedings of the 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, held in Budapest, Hungary, September 2007. The revised and extended papers were carefully reviewed and selected for inclusion in the book. There are 115 contributions in total and an introduction. The seven distrinct evaluation tracks in CLEF 2007, are designed to test the performance of a wide range of multilingual information access systems or system components. The papers are organized in topical sections on Multilingual Textual Document Retrieval (Ad Hoc), Domain-Specific Information Retrieval (Domain-Specific), Multiple Language Question Answering (QA@CLEF), cross-language retrieval in image collections (Image CLEF), cross-language speech retrieval (CL-SR), multilingual Web retrieval (WebCLEF), cross-language geographical retrieval (GeoCLEF), and CLEF in other evaluations.
Multiple Classifier Systems
Author: Fabio Roli
Publisher: Springer
ISBN: 3540454284
Category : Computers
Languages : en
Pages : 347
Book Description
This book constitutes the refereed proceedings of the Third International Workshop on Multiple Classifier Systems, MCS 2002, held in Cagliari, Italy, in June 2002.The 29 revised full papers presented together with three invited papers were carefully reviewed and selected for inclusion in the volume. The papers are organized in topical sections on bagging and boosting, ensemble learning and neural networks, design methodologies, combination strategies, analysis and performance evaluation, and applications.
Publisher: Springer
ISBN: 3540454284
Category : Computers
Languages : en
Pages : 347
Book Description
This book constitutes the refereed proceedings of the Third International Workshop on Multiple Classifier Systems, MCS 2002, held in Cagliari, Italy, in June 2002.The 29 revised full papers presented together with three invited papers were carefully reviewed and selected for inclusion in the volume. The papers are organized in topical sections on bagging and boosting, ensemble learning and neural networks, design methodologies, combination strategies, analysis and performance evaluation, and applications.
Proceedings
Author: American Library Association
Publisher:
ISBN:
Category :
Languages : en
Pages : 256
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 256
Book Description
Applications in Computing for Social Anthropologists
Author: Michael Fischer
Publisher: Routledge
ISBN: 1134978421
Category : Social Science
Languages : en
Pages : 252
Book Description
As increasing numbers of social anthropologists use a computer for wordprocessing, interest in other applications inevitably follows, Computer Applications in Social Anthropology covers research activities shared by all social anthropologists and introduces new methods for organizing and interpreting data. Lucidly written, and sympathetic to the particular needs of social anthropologists, it will be of immense value to researchers and professionals in anthropology, development studies and sociology
Publisher: Routledge
ISBN: 1134978421
Category : Social Science
Languages : en
Pages : 252
Book Description
As increasing numbers of social anthropologists use a computer for wordprocessing, interest in other applications inevitably follows, Computer Applications in Social Anthropology covers research activities shared by all social anthropologists and introduces new methods for organizing and interpreting data. Lucidly written, and sympathetic to the particular needs of social anthropologists, it will be of immense value to researchers and professionals in anthropology, development studies and sociology
Machine Learning with PyTorch and Scikit-Learn
Author: Sebastian Raschka
Publisher: Packt Publishing Ltd
ISBN: 1801816387
Category : Computers
Languages : en
Pages : 775
Book Description
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Publisher: Packt Publishing Ltd
ISBN: 1801816387
Category : Computers
Languages : en
Pages : 775
Book Description
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Land Cover Classification System
Author: Antonio Di Gregorio
Publisher: Food & Agriculture Org.
ISBN: 9789251053270
Category : Business & Economics
Languages : en
Pages : 212
Book Description
"Based on the original software version 1 prepared by Antonio Di Gregorio and Louisa J.M. Jansen."
Publisher: Food & Agriculture Org.
ISBN: 9789251053270
Category : Business & Economics
Languages : en
Pages : 212
Book Description
"Based on the original software version 1 prepared by Antonio Di Gregorio and Louisa J.M. Jansen."
Report of the Proceedings and Addresses of the ...
Author: National Catholic Educational Association
Publisher:
ISBN:
Category :
Languages : en
Pages : 1554
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 1554
Book Description