Sub Folder :. Top .:
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Collections :. All Books Catalog .: Total: 1.907 koleksi
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Speech and Language ProcessingThis is an exciting time to be working in speech and language processing. Historically distinct ï¬Âelds (natural language processing, speech recognition, computational…
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Transformers for Natural Language Processing Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and moreTransformers are a game-changer for Natural Language Understanding (NLU), a subset of Natural Language Processing (NLP), which has become one of the pillars of artificial…
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Modeling With NLPMy passion for modeling began nearly twenty-five years ago when I first met John Grinder and Richard Bandler. They had just finished the first volume of their groundbreak…
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Getting Started with Google BERT Build and train state-of-the-art natural language processing models using BERTThe transformer is one of the most popular state-of-the-art deep learning architectures that is mostly used for natural language processing (NLP) tasks. Ever since the ad…
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ADVANCED NATURAL LANGUAGE PROCESSING WITH TENSORFLOW 2 Build Real-world Effective Nlp... Applications Using Ner, Rnns, Seq2seq Models, TranThis book is focused on cutting-edge applications in the fields of NLP, language generation, and dialog systems. It covers the concepts of pre-processing text using techn…
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Practical Natural Language Processing with Python With Case Studies from Industries Using Text Data at ScaleI am fortunate to have had the exposure and opportunity to solve complex NLP problems that benefited various businesses across geographies. This book comes from my learni…
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Practical Natural Language Processing A Pragmatic Approach to Processing and Analyzing Language DataNatural language processing (NLP) is a field at the intersection of computer science, artificial intelligence, and linguistics. It concerns building systems that can proc…
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Next-Generation Machine Learning with SparkThis book provides an accessible introduction to Spark and Spark MLlib. However, this is not yet another book on the standard Spark MLlib algorithms. This book focuses on…
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Natural Language Understanding and Cognitive RoboticsThis book describes the challenges of providing robots with human-like capability of natural language understanding as the central part of integrative multimedia understa…
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Natural Language Processing for Global and Local BusinessThe successful development and management of information systems and business analytics is crucial to the success of an organization. New technological developments and m…
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Mastering Spark with R The Complete Guide to Large-Scale Analysis and ModelingApache Spark is a distributed computing platform built on extensibility: Spark’s APIs make it easy to combine input from many data sources and process it using diverse pr…
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Hands-On Python Natural Language ProcessingNatural Language Processing (NLP) is an interdisciplinary area of research aimed at making machines understand and process human languages. It is an evolving field, with…
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Lifelong Machine LearningLifelong Machine Learning (or Lifelong Learning) is an advanced machine learning paradigm that learns continuously, accumulates the knowledge learned in previous tasks, a…
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Advances in Proof-Theoretic SemanticsAbstract As documented by the papers in this volume, which mostly result from the second conference on proof-theoretic semantics in Tübingen 2013, proof-theoretic sema…
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Requirements management : a practice guideRequirements Management: A Practice Guide is a complementary document to the Project Management Institute’s (PMI’s) foundational standards. This practice guide provides g…