SKU/Artículo: AMZ-B09KRSQPC5
Natural Language Processing with Flair: A practical guide to understanding and solving NLP problems with Flair
Format:
Kindle
Detalles del producto
Disponibilidad:
Fuera de stock
Fuera de stock
Peso con empaque:
0.15 kg
0.15 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Learn how to solve practical NLP problems with the Flair Python framework, train sequence labeling models, work with text classifiers and word embeddings, and much more through hands-on practical exercisesPurchase of the print or Kindle book includes a free PDF eBookWhat’s insidePractical know-how, backed by the community and written by an NLP expertInsights into basic NLP problems and terminologyWays of solving real-world NLP problems with Flair and hands-on exercisesYou’ll get the most out of this book ifYou want to learn about NLP through one of the most beginner-friendly, yet powerful Python NLP libraries out thereYou’re a software engineering student, developer, data scientist, or are transitioning into NLP and are interested in learning about practical approaches to solving problems with FlairYou’re not looking for in-depth theoretical understanding of the mathematics behind NLPYou have beginner-level knowledge of Python programming, which is a prerequisiteWhat your journey will look likeFrom installing Flair and learning about the basic NLP concepts and terminology, this book takes a hands-on approach to explaining and solving real-world NLP problems. After exploring Flair's extensive features, such as sequence tagging, text classification, and word embeddings through practical exercises, you'll tackle topics like training your own sequence, labeling and text classification models, and using hyperparameter tuning in order to choose the right training parameters. By the end of this book, you’ll have a solid grasp on Flair and the problems you can solve with it.Some of the things you’ll learn from this bookUnderstanding the core NLP terminology and conceptsA firm grasp on the capabilities of the Flair NLP frameworkUsing Flair's state-of-the-art pre-built models with easeBuilding custom sequence labeling models, embeddings, and classifiersLearning about a novel text classification technique called TARSHow to build applications with Flair and how to deploy them to productionTable of ContentsIntroduction to FlairFlair Base TypesEmbeddings in FlairSequence TaggingTraining Sequence Labeling ModelsHyperparameter Optimization in FlairTraining Your Own EmbeddingsText Classification in FlairDeploying and Using Models in ProductionHands-on exercise – Building a trading bot with Flair
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