{"product_id":"applied-natural-language-processing-in-the-enterprise-paperback-pstrong-teaching-machines-to-read-write-and-understand-p","title":"Applied Natural Language Processing in the Enterprise","description":"\u003cp style=\"margin: 0px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eNLP 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.\u003c\/p\u003e\u003cp style=\"margin: -4px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eWith 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 highlightthe best practices in modern NLP.\u003c\/p\u003e\u003cul style=\"margin-top: 0px; margin-right: 0px; margin-left: 20px; padding-right: 0px; padding-left: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\" margin-bottom:=\"\"\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eUse 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\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eTrain NLP models with performance comparable or superior to that of out-of-the-box systems\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eLearn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eBecome familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eBuild core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eTake your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003e \u003c\/h3\u003e\u003ch3 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003e  About the Author\u003c\/h3\u003e\u003cdiv class=\"a-section a-spacing-small a-padding-small\" style=\"box-sizing: border-box; margin-bottom: 0px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\" padding:=\"\"\u003e\n\u003cp style=\"box-sizing: border-box; padding: 0px; margin: 0px 0px 14px;\"\u003e\u003cstrong\u003eAnkur A. Patel \u003c\/strong\u003eis an AI entrepreneur, thought leader, and author. He is currently the cofounder and head of data at Glean and the cofounder of Mellow. Glean uses natural language processing to deliver vendor spend intelligence within an accounts payable solution. Mellow develops easy-to-use natural language processing APIs for developers to use as part of their product build.\u003c\/p\u003e\n\u003cp style=\"box-sizing: border-box; padding: 0px; margin: 0px 0px 14px;\"\u003e\u003cspan style=\"color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cstrong\u003eAjay Arasanipalai \u003c\/strong\u003eis a deep learning researcher and student at University of Illinois at Urbana-Champaign. He's authored many popular articles that discuss state-of-the-art deep learning research. In March 2018, Ajay was invited to speak about accelerated deep learning at Think 2018, IBM's largest annual tech conference. Currently, as cochair of the ACM SIGAI chapter at the University of Illinois, he organizes educational workshops and projects for undergraduate students.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50506208084038,"sku":"9789391043377","price":1260.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789391043377_yo9y-br.jpg?v=1790323151","url":"https:\/\/cb-india.com\/products\/applied-natural-language-processing-in-the-enterprise-paperback-pstrong-teaching-machines-to-read-write-and-understand-p","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}