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If you want to build, iterate and scale NLP systems in a business setting and to tailor 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 of this journey, there are dozens of alternative approaches you can take. This book helps you navigate this maze of options.
Zakup książki
Practical Natural Language Processing, Anuj Gupta, Sowmya Vajjala, Harshit Surana, Bodhisattwa Majumder
- Język
- Rok wydania
- 2020
- Oprawa
- (miękka)
Metody płatności
Brakuje nam tutaj Twojej recenzji.
- Tytuł
- Practical Natural Language Processing
- Język
- angielski
- Wydawca
- O'Reilly Media
- Rok wydania
- 2020
- Oprawa
- miękka
- Liczba stron
- 325
- ISBN10
- 1492054054
- ISBN13
- 9781492054054
- Seria
- Ocena
- 3,85 z 5
- Opis
- If you want to build, iterate and scale NLP systems in a business setting and to tailor 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 of this journey, there are dozens of alternative approaches you can take. This book helps you navigate this maze of options.