21 rezultatov
-
-
Natural Language Processing(2013) KAPETANIOS, EPAMINONDAS (UNIVERSITY OF WESTMINSTER, LONDON, UK),TATAR, DOINA,SACAREA, CHRISTIAN (BABES-BOLYAI UNIVERSITY, CLUJ-NAPOCA, ROMANIA)This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, aVezava: Trda226,99 €
-
Handbook of Natural Language Processing(2010)Provides a comprehensive, modern reference of practical tools and techniques for implementing natural language processing in computer systems. This title covers classical methods, empirical and statistical techniques, and various applications. It describeVezava: Trda235,09 €
-
LLMOps(2025) ARYAN, ABILLMOps: Managing Large Language Models in Production is your guide to actually running these systems when real users and real money are on the line. This book isn't about building cool demos. It's about keeping LLM systems running smoothly in the real worVezava: Mehka82,59 € -
Natural Language Processing with Transformers, Revised Edition(2022) TUNSTALL, LEWIS,VON WERRA, LEANDRO,WOLF, THOMASIf you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.Vezava: Mehka86,94 € -
Semantic Modeling for Data(2020) ALEXOPOULOS, PANOSIn this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You’ll learn how to master this craft to increase the usability and value of your daVezava: Mehka92,91 € -
Machine Learning Pocket Reference(2019) HARRISON, MATTWith detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient reVezava: Mehka33,63 € -
Automated Machine Learning in Action(2022) SONG, QINGQUAN,JIN, HAIFENG,HU, XIAVezava: Mehka67,70 € -
Natural Language Processing in Action(2019) HOBSON, LANE,COLE, HOWARD,HANNES, HAPKEVezava: Mehka71,27 € -
Man-Machine Speech Communication(2018)The papers address issues such as challenging issues in speech recognition and enhancement, speaker and language recognition, speech synthesis, corpus and phonetic in speech technology, speech generation, speech analyzing and modelling, speech processingVezava: Mehka9,84 € -
Deep Learning on Graphs(2021) MA, YAO (MICHIGAN STATE UNIVERSITY),TANG, JILIANG (MICHIGAN STATE UNIVERSITY)This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering pooling, robustness, aVezava: Trda85,75 € -
Practical Natural Language Processing(2020) VAJJALA, SOWMYA,MAJUMDER, BODHISATTWA,GUPTA, ANUJ,SURANA, HARSHITMany books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this iVezava: Mehka82,59 € -
Natural Language Processing with PyTorchlow(2019) RAO, DELIP,MCMAHAN, BRIANIf you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library.Vezava: Mehka92,91 € -
Text Mining with R(2017) SILGE, JULIA,ROBINSON, DAVIDTackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools fromVezava: Mehka44,85 € -
-
