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- 332 pages
- 12 hours of reading
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The programming landscape of natural language processing has changed dramatically in the past few years. Machine learning approaches now require mature tools like Python's scikit-learn to apply models to text at scale. This practical guide shows programmers and data scientists who have an intermediate-level understanding of Python and a basic understanding of machine learning and natural language processing how to become more proficient in these two exciting areas of data science.
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Applied text analysis with Python : enabling language-aware data products with machine learning, Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda
- Language
- Released
- 2018
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- (Paperback)
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- Title
- Applied text analysis with Python : enabling language-aware data products with machine learning
- Language
- English
- Authors
- Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda
- Publisher
- O'Reilly
- Released
- 2018
- Format
- Paperback
- Pages
- 332
- ISBN10
- 1491963042
- ISBN13
- 9781491963043
- Series
- Rating
- 3.85 out of 5
- Description
- The programming landscape of natural language processing has changed dramatically in the past few years. Machine learning approaches now require mature tools like Python's scikit-learn to apply models to text at scale. This practical guide shows programmers and data scientists who have an intermediate-level understanding of Python and a basic understanding of machine learning and natural language processing how to become more proficient in these two exciting areas of data science.