Compartir
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World nlp Systems (en Inglés)
Sowmya Vajjala
(Autor)
·
Bodhisattwa Majumder
(Autor)
·
Anuj Gupta
(Autor)
·
O'Reilly Media
· Tapa Blanda
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World nlp Systems (en Inglés) - Vajjala, Sowmya ; Majumder, Bodhisattwa ; Gupta, Anuj
$ 61.730
$ 123.450
Ahorras: $ 61.720
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Reino Unido
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Martes 07 de Mayo y el
Viernes 10 de Mayo.
Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Practical Natural Language Processing: A Comprehensive Guide to Building Real-World nlp Systems (en Inglés)"
Many 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 is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you'll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader's perspective
