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, summarization, and text generation. After completing Introduction to Transformers for NLP, you will understand Transformer concepts and be able;
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, summarization, and text generation. After completing Introduction to Transformers for NLP, you will understand Transformer concepts and be able to solve;
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, RoBERTa, and DistilBERT Discover how to pre-train and fine-tune BERT models for several NLP tasks Book DescriptionBERT (bidirectional encoder;
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the power of deep learning techniques for NLP problems. It also employs state-of-the-art advanced RNNs, such as long short-term memory, to;
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introduction to Chinese NLP; Chinese characters, morphemes, and words and the characteristics of Chinese words that have to be considered in NLP;
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with Bandler. Rather than explaining the theories, An Introduction to NLP illustrates the principles and simple techniques that Bandler has;
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Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). The book uses spaCy, a leading;
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. We start with an introduction to the basic vocabulary along with a workflow for building NLP applications. We use industry-grade NLP tools;
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, third generation grids, and power system interconnection are discussed as well. The first, comprehensive introduction to variable;
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30 Days to NLP is a reader friendly introduction to Neuro Linguistic Programming. This book takes you on a thirty day;
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challenging demands of the power system and the customer. This book can function as a useful guide for practicing engineers to undertake new designs;
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challenging demands of the power system and the customer. This book can function as a useful guide for practicing engineers to undertake new designs;
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exercises. The book starts with an introduction to NLP. You'll study different approaches to NLP tasks, and perform exercises in Python to;
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Introduction to Electrical Measurements discusses the basic concept of the measurement systems along with the principles of electrical;
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care practice (although is gaining ground in terms of improving health of individuals). This book provides an accessible introduction to NLP;
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This classic text on transmission line transformers for high frequencies includes new chapters on efficiency, power combiners, mixer;
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Transformers of all sizes are at the core of every electrical power gridThis unique resource shows engineers how to design, manufacture;
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The demand for alternative energy sources fuels the need for electric power and controls engineers to possess a practical understanding;
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The demand for alternative energy sources fuels the need for electric power and controls engineers to possess a practical understanding;
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One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world;
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tool when a bushing issue arises. For the Power Engineer who specifies new power transformers, it will become the go to handbook that will help;
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of transformers widely used for energy transfer, measurement, protection, and signal coupling. As a result, the reliability of the entire power system;
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of transformers widely used for energy transfer, measurement, protection, and signal coupling. As a result, the reliability of the entire power system;
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learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP;
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learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP;
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motors, from large electric train motors, to those in hair dryers and smaller devices. The largest markets for a book such as this will be found;
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, in particular -- pose special challenges for NLP. This book aims to give an introduction to NLP for historical texts and an overview of the state;
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