Practical Natural Language Processing: A Pragmatic Approach to Processing and Analyzing Language Data 1st Edition 21631

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.
Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.
With this book, you’ll:
  • Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP
  • Implement and evaluate different NLP applications using machine learning and deep learning methods
  • Fine-tune your NLP solution based on your business problem and industry vertical
  • Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages
  • Produce software solutions following best practices around release, deployment, and DevOps for NLP systems
  • Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspectiv

If you want to build, iterate and scale NLP systems in a business setting and tailor to them for various industry verticals, this is your guide.

Consider the task of building a chatbot or text classification system at your organization. In the beginning, there may be little or no data to work with. At this point, a basic solution that uses rule based systems or traditional machine learning will be apt. As you accumulate more data, more sophisticated—and often data intensive—ML techniques can be used including deep learning. At each step journey of this, there are dozens of alternative approaches you can take. This book helps you navigate this maze of options.

  • Автор
    Sowmya VajjalaBodhisattwa MajumderAnuj GuptaHarshit Surana
  • Категорія
    Комп'ютерна література
  • Мова
    Англійська
  • Рік
    2020
  • Сторінок
    454
  • Формат
    165х235 мм
  • Обкладинка
    М'яка
  • Тип паперу
    Офсетний
  • Ілюстрації
    Чорно-білі
800 ₴
Купити
Відділення Нова Пошта80 ₴
Поштомат Нова Пошта40 ₴
Кур’єр Нова Пошта120 ₴
Відділення УкрПошта50 ₴
Кур’єр за адресою90 ₴
Practical Natural Language Processing: A Pragmatic Approach to Processing and Analyzing Language Data 1st Edition - фото 1
21631
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