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36943506
Mastering spaCy: An end-to-end practical guide to implementing NLP applications using the Python ecosystem
75% of respondents would recommend this to a friend
Nº de artículo:
36943506
CLP 72383
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What Stands Out
Comprehensive Guide
Offers an in-depth exploration of spaCy for NLP, catering to beginners and experts alike, ensuring mastery through practical applications and clear explanations.
Python Ecosystem
Integrates seamlessly with Python tools and libraries, providing users with a powerful framework to build, deploy, and enhance NLP applications efficiently.
Real-World Applications
Focuses on implementing real-world NLP solutions, helping users to solve actual problems and gain hands-on experience with useful, actionable knowledge.
Detalles de producto
| Publisher | Packt Publishing |
| Publication date | July 9, 2021 |
| Language | English |
| Print length | 356 pages |
| ISBN-10 | 1800563353 |
| ISBN-13 | 978-1800563353 |
| Item Weight | 1.35 pounds (610 grams) |
| Dimensions | 7.5 x 0.81 x 9.25 inches (19.1 x 2.1 x 23.5 cm) |
Who Should Buy?
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NLP Beginners
Ideal for those new to Natural Language Processing, providing step-by-step guidance on using spaCy effectively.
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Python Developers
Perfect for Python developers looking to enhance their skills in NLP and integrate these applications into existing projects.
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Data Scientists
Beneficial for data scientists wanting to incorporate NLP into their analysis and utilize text data for insights.
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Advanced Researchers
Not suitable for seasoned NLP researchers seeking in-depth theoretical concepts beyond practical application-focused content.
DESCRIPCIÓN DEL PRODUCTO
Mastering spaCy: An end-to-end practical guide to implementing NLP applications using the Python ecosystem
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Intelligence & Semantics Editorial Review
Mastering spaCy is a comprehensive guide that covers the end-to-end process of implementing natural language processing applications using Python. The book provides solid and structured content, making it easy for beginners to understand the basics of spaCy. The author shares a wealth of knowledge in the book, but readers may face challenges due to poor editing. Many lines of code are incorrect or missing, and readers will have to spend additional time researching to obtain the correct codes. Despite these challenges, the book provides a good learning experience for readers who are patient enough to troubleshoot the errors.
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ventajas
- Solid and well-structured content
- Comprehensive guide to implementing natural language processing applications
Contras
- Poor editing, with frequent typos, errors in code, and lines that are missing
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