- Main
- Computers - Computer Science
- Applied Natural Language Processing in...
Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand
Ankur A. Patel, Ajay Uppili Arasanipalaiدا کتاب تاسو ته څنګه خواښه شوه؟
د بار شوي فایل کیفیت څه دئ؟
تر څو چې د کتاب کیفیت آزمایښو وکړئ، بار ئې کړئ
د بار شوو فایلونو کیفیتی څه دئ؟
NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP.
With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP.
• Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension
• Train NLP models with performance comparable or superior to that of out-of-the-box systems
• Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm
• Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai
• Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch
• Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production
With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP.
• Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension
• Train NLP models with performance comparable or superior to that of out-of-the-box systems
• Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm
• Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai
• Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch
• Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production
درجه (قاطیغوری(:
کال:
2021
خپرونه:
1
خپرندویه اداره:
O'Reilly Media
ژبه:
english
صفحه:
336
ISBN 10:
149206257X
ISBN 13:
9781492062578
فایل:
PDF, 10.28 MB
ستاسی تیګی:
IPFS:
CID , CID Blake2b
english, 2021
په آن لاین ډول لوستل
- کاپی کول
- pdf 10.28 MB Current page
- Checking other formats...
- ته بدلول
- Unlock conversion of files larger than 8 MBPremium
غواړئ کتاب پلورنځي ته اضافه وکړئ؟ مونږ سره د support@z-lib.do له لارې اړیکه ونیسئ
د ۱- ۵ دقیقو په جریان کې فایل ستاسی ایمل ته دررسیږی.
د ۱-۵ دقیقو په ترڅ کښې به فایل ستاسو د ټیلیګرام آکاونټ ته وسپارل شي.
یادونه: مطمئن شئ چې تاسو خپل آګاونټ د Z-Library Telegram بوټ سره تړلی دی.
د ۱-۵ دقیقو په ترڅ کښې به فایل ستاسو د Kindle وسیلې ته وسپارل شي.
ملاحظه هر کتاب چي تاسي Kindle ته ليږئ باید تصدیق شی. خپله الکترونیکی پوسته تفتیش کړئ چې پکښې باید د Amazon Kindle Support له خوا مکتوب وی.
ته بدلون په کار دي
ته بدلون ناکام شو
Premium benefits
- Send to eReaders
- Increased download limit
- File converter
- د لټون نورې نبیجې
- More benefits