Logic and Engineering of Natural Language Semantics : 20th International Conference, LENLS20, Osaka, Japan, November 18–20, 2023, Revised Selected Papers
Daisuke Bekki
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e : Concepts, Tools, and Techniques to Build Intelligent Systems
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Text Mining with R
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Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Magnus Ekman
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Practical Natural Language Processing : A Comprehensive Guide to Building Real-World NLP Systems
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Natural Language Processing with PyTorchlow : Build Intelligent Language Applications Using Deep Learning
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Essential Math for AI : Next-Level Mathematics for Efficient and Successful AI Systems
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Natural Language Processing in Action : Understanding, analyzing, and generating text with Python
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Building Machine Learning Pipelines
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The Hundred-Page Machine Learning Book
Andriy Burkov
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Machine Learning Pocket Reference : Working with Structured Data in Python
Matt Harrison
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AI at the Edge : Solving Real-World Problems with Embedded Machine Learning
Daniel Situnayake
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Semantic Modeling for Data : Avoiding Pitfalls and Breaking Dilemmas
Panos Alexopoulos
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Natural Language Processing with Transformers, Revised Edition
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Deep Learning with TensorFlow 2 and Keras : Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition
Antonio Gulli
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Introducing Speech and Language Processing
John (University of Oxford) Coleman
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Explainable AI for Practitioners : Designing and Implementing Explainable ML Solutions
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Real-World Natural Language Processing
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Deep Learning for Natural Language Processing
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The Handbook of Computational Linguistics and Natural Language Processing
Alexander (Royal Holloway, University of London, UK) Clark
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Hey Cyba : The Inner Workings of a Virtual Personal Assistant
Steve (University of Cambridge) Young
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Automated Machine Learning in Action
Qingquan Song
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Semantic Role Labeling
Martha Palmer
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