Deep Learning for Natural Language Processing, Goyal
Автор: Aarne Ranta; Bengt Nordstr?m Название: Advances in Natural Language Processing ISBN: 3540852867 ISBN-13(EAN): 9783540852865 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 6th International Conference on Natural Language Processing, GoTAL 2008, Gothenburg, Sweden, August 2008. This work covers papers that address various issues in computational linguistics and monolingual and multilingual intelligent language processing - theory, methods and applications.
Автор: Anne Kao; Steve R. Poteet Название: Natural Language Processing and Text Mining ISBN: 1849965587 ISBN-13(EAN): 9781849965583 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP.
Автор: Beysolow II Название: Applied Natural Language Processing with Python ISBN: 1484237323 ISBN-13(EAN): 9781484237328 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1: What is Natural Language Processing? Chapter Goal: Establishing understanding of topic and give overview of textNo of pages: 10 pagesSub -Topics1. History of Natural Language Processing 2. Word Embeddings3. Neural Networks applied to Natural Language Processing 4. Python Packages Chapter 2: Review of Machine LearningChapter Goal: Discuss models that will be referenced in the textNo of pages: 30 pagesSub - Topics 1. Gradient Descent 2. Multi-Layer Perceptrons 3. Recurrent Neural Networks4. LSTM networks Chapter 3: Working with Raw Text Chapter Goal: Introduce reader to the fundamental aspects of Natural Language Processing that will be utilized more heavily in the chapters regarding No of pages: 30Sub - Topics: 1. Word Tokenization 2. Preprocessing and cleaning of text data3. Web crawling w/ SpaCy4. Lemmas, N-grams, and other NATURAL LANGUAGE PROCESSING concepts Chapter 4: Word Embeddings and their applicationChapter Goal: Introduce reader to the use cases for word embeddings and the packages we utilize for themNo of pages: 50 Sub - Topics: 1. Word2Vec2. Doc2Vec3. GloVe Chapter 5: Using Machine Learning w/ Natural language ProcessingChapter Goal: Give reader specific walkthroughs of advanced applications of Natural Language Processing using Machine Learning within greater applications (spellcheck and sentiment analysis)No of pages: 501. Tensorflow2. Keras3. Caffe
Описание: Constitutes the thoroughly refereed proceedings of the 22nd International Conference on Computer Processing of Oriental Languages, ICCPOL 2009, held in Hong Kong, in March 2009. This title includes papers that address a variety of topics in natural language processing and its applications.
Описание: This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications.
Автор: Thiago A.S. Pardo; Ant?nio Branco; Aldebaro Klauta Название: Computational Processing of the Portuguese Language ISBN: 3642123198 ISBN-13(EAN): 9783642123191 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 8th International Workshop on Computational Processing of the Portuguese Language, PROPOR 2010, held in Portp Alegre, Brazil, in April 2010. This book presents the papers that are organized in topical sections on information handling, text processing, language processing, language resources, and more.
Автор: S. S. Agrawal; Amita Devi; Ritika Wason; Poonam Ba Название: Speech and Language Processing for Human-Machine Communications ISBN: 9811066256 ISBN-13(EAN): 9789811066252 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume comprises the select proceedings of the annual convention of the Computer Society of India. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security.
Автор: Pierre M. Nugues Название: An Introduction to Language Processing with Perl and Prolog ISBN: 3642064051 ISBN-13(EAN): 9783642064050 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book teaches the principles of natural language processing and covers linguistics issues. A key feature of the book is the author`s hands-on approach throughout, with extensive exercises, sample code in Prolog and Perl, and a detailed introduction to Prolog.
Автор: Denys Duchier; Yannick Parmentier Название: Constraint Solving and Language Processing ISBN: 3642415776 ISBN-13(EAN): 9783642415777 Издательство: Springer Рейтинг: Цена: 6429.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Constraint Solving and Language Processing (CSLP) workshop considers the role of constraints in the representation of language and the implementation of language processing applications. Constraints are widely used in linguistics, computer science, and psychology.
Автор: David D. McDonald; Leonard Bolc Название: Natural Language Generation Systems ISBN: 1461283744 ISBN-13(EAN): 9781461283744 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Natural language generation is a field within artificial intelligence which looks ahead to the future when machines will communicate complex thoughts to their human users in a natural way.
Автор: Kim, Phil Название: Matlab deep learning ISBN: 1484228448 ISBN-13(EAN): 9781484228449 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Starting with machine learning fundamentals, this book moves on to neural networks, deep learning, and convolutional neural networks, using MATLAB as the underlying programming language and tool for examples and case studies in this book to tackle some of today`s real world big data, smart bots, and other complex data problems.
Автор: Taweh Beysolow II Название: Introduction to Deep Learning Using R ISBN: 1484227336 ISBN-13(EAN): 9781484227336 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Understand deep learning, the nuances of its different models, and where these models can be applied.
The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools.What You Will Learn:
Understand the intuition and mathematics that power deep learning models
Utilize various algorithms using the R programming language and its packages
Use best practices for experimental design and variable selection
Practice the methodology to approach and effectively solve problems as a data scientist
Evaluate the effectiveness of algorithmic solutions and enhance their predictive power
Who this book is for: Students, researchers, and data scientists who are familiar with programming using R. This book also is also of use for those who wish to learn how to appropriately deploy these algorithms in applications where they would be most useful.
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