It takes the average reader 5 hours and 50 minutes to read Applied Natural Language Processing in the Enterprise by Ankur A Patel
Assuming a reading speed of 250 words per minute. Learn more
NLP is one of the hottest topics in AI today. Having lagged for years behind other deep learning fields such as computer vision, NLP only recently gained mainstream popularity. Google, Facebook, and OpenAI have open-sourced large pretrained language models, but many organizations today still struggle with building and adopting NLP applications. This hands-on guide helps you learn the process quickly. If you have a basic to intermediate understanding of machine learning and programming experience with Python, you'll learn how to build and deploy real-world NLP applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai walk you through the process without bogging you down in theory. Understand how state-of-the-art NLP models work Learn the tools of the trade, including frameworks popular today Perform NLP tasks such as text classification, semantic search, and reading comprehension Solve problems using new models like transformers and techniques such as transfer learning Build NLP models from scratch with performance comparable or superior to out-of-the-box systems Deploy your models to production and maintain their performance Implement a suite of NLP algorithms using Python and PyTorch
Applied Natural Language Processing in the Enterprise by Ankur A Patel is 350 pages long, and a total of 87,500 words.
This makes it 118% the length of the average book. It also has 107% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 58 minutes to read Applied Natural Language Processing in the Enterprise aloud.
Applied Natural Language Processing in the Enterprise is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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