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87962194
BERT実践入門 PyTorch + Google Colaboratoryで学ぶあたらしい自然言語処理技術 AI & TECHNOLOGY
75% of respondents would recommend this to a friend
Item #:
87962194
ZMW 779
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What Stands Out
Hands-On Learning
Engage in practical exercises using PyTorch and Google Colaboratory, ensuring a comprehensive understanding of natural language processing (NLP) technologies for real-world applications.
Updated Techniques
Learn cutting-edge NLP strategies and methodologies, providing users with the skills to stay competitive in the fast-evolving AI landscape.
Accessible Format
Designed for learners of all levels, this guide simplifies complex concepts, making advanced NLP techniques accessible to a broader audience, including beginners and professionals.
Product Details
| Publisher | u7fd4u6cf3u793e |
| Publication date | July 20, 2023 |
| Language | Japanese |
| Print length | 280 pages |
| ISBN-10 | 4798177814 |
| ISBN-13 | 978-4798177816 |
| Item Weight | 360 g |
| Dimensions | 5.83 x 0.67 x 8.27 inches (14.8 x 1.7 x 21 cm) |
Who Should Buy?
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Data Scientists
Ideal for data scientists looking to enhance their skills in natural language processing using BERT with PyTorch.
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Machine Learning Students
Great for students studying machine learning who wish to gain practical experience with advanced language models.
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AI Practitioners
Beneficial for professionals in AI seeking to implement state-of-the-art NLP techniques in their projects.
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Complete Beginners
Not suitable for individuals with no prior programming or machine learning knowledge, as concepts can be complex.
Product Description
BERT実践入門 PyTorch + Google Colaboratoryで学ぶあたらしい自然言語処理技術 AI & TECHNOLOGY
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我妻 幸長 Format: Tankobon Softcover AI & Machine Learning Editorial Review
BERT実践入門 PyTorch + Google Colaboratoryで学ぶあたらしい自然言語処理技術 is a comprehensive guide published on July 20, 2023, aimed at introducing cutting-edge natural language processing techniques in Japanese. This 280-page book from 研究社 covers topics using PyTorch and Google Colaboratory, making it accessible for both beginners and experienced users interested in AI technologies. It is particularly well-received for its structured approach to learning and practical examples, which help reinforce theoretical concepts. The book serves as a valuable resource for those looking to enhance their understanding of BERT and its applications in NLP. Additionally, this publication has a manageable weight and dimensions, enabling easy handling and reading.
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Pros
- Covers advanced natural language processing techniques
- Utilizes popular tools like PyTorch and Google Colaboratory
- Published recently for up-to-date information
- Structured content for easier understanding
- Practical examples to reinforce learning
Cons
- Some readers may prefer more advanced content
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