Practical Natural Language Processing

□ I. THÔNG TIN SẢN PHẨM
□ Mã sản phẩm : STT1752
□ Nhà xuất bản : O'Reilly Media
□ Tác giả : Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana
□ Ngôn ngữ : Tiếng Anh
□ ISBN : 978-1492054054
□ Số trang : 456 trang
□ Hình thức : Bìa Mềm, RUỘT IN ĐEN TRẮNG, BÌA IN MẪU LASER GIẤY C300 CÓ CÁN
□ Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
□ Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và highlight thoải mái.
□ Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

□ II. MÔ TẢ SẢN PHẨM
□ 1.Mô tả sản phẩm đầy đủ
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems is a definitive resource for professionals looking to transition from theoretical machine learning to production-ready natural language processing applications. While many resources focus on academic datasets and toy use cases, this book addresses the messy, complex reality of building NLP systems in a business environment. The authors bring their extensive industry experience from organizations like Google AI, Microsoft Research, and various Silicon Valley startups to provide a pragmatic playbook for the entire development lifecycle. The book is structured to guide software engineers and data scientists through the maze of technical options available today. It advocates for a pragmatic, iterative approach: starting with simple rule-based systems to establish a baseline and collect data, then progressing to traditional machine learning, and finally scaling to sophisticated deep learning models as the project matures. This approach ensures that teams can deliver business value early while building a foundation for future complexity. Key technical areas covered include information extraction, text classification, chatbots, and recommendation systems. Beyond just the algorithms, the book delves into the critical parts of the pipeline: data collection, cleaning, and preprocessing. It also places a heavy emphasis on deployment, monitoring, and DevOps for NLP, which are often overlooked in standard textbooks. A standout feature is the inclusion of domain-specific guides for industries such as healthcare, retail, and social media, explaining the unique nuances and caveats of each field. Whether you are a product manager trying to understand the ROI of NLP, a software engineer tasked with building a chatbot, or a data scientist looking to deploy models at scale, this book offers the practical advice needed to navigate the challenges of NLP in the wild. By distilling years of collective wisdom, the authors provide a comprehensive framework for building systems that are not only accurate but also scalable, maintainable, and aligned with business goals.

□ 2. Tác giả
Sowmya Vajjala is a researcher at the National Research Council Canada with a PhD in Computational Linguistics. Bodhisattwa Majumder is a doctoral candidate at UC San Diego with extensive experience at Google AI and Microsoft Research. Anuj Gupta is the Head of Machine Learning at Vahan Inc. and has led ML teams at Fortune 100 companies. Harshit Surana is the founder of DeepFlux and has built and scaled engineering pipelines for numerous startups in Silicon Valley and worked with the MIT Media Lab.