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Can I read Python for Natural Language Processing : Programming with NumPy, scikit-learn, Keras, and PyTorch on EtoBox?
Python for Natural Language Processing : Programming with NumPy, scikit-learn, Keras, and PyTorch by Pierre M. Nugues is a nonfiction available to read on EtoBox.
What is Python for Natural Language Processing : Programming with NumPy, scikit-learn, Keras, and PyTorch about?
Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles. Text Processing has meanwhile become a mainstream industrial tool that is used, to various extents, by countless companies. As such, a revision of this book was deemed necessary to catch up with the recent breakthroughs, and the author discusses models and architectures that have been instrumental in the recent progress of Natural Language Processing. As in the first two editions, the intention is to expose the reader to the theories used in Natural Language Processing, and to programming examples that are essential for a deep understanding of the concepts. Although present in the previous two editions, Machine Learning is now even more pregnant, having replaced many of the earlier techniques to process text. Many new techniques build on the availability of text. Using Python notebooks, the reader will be able to load small corpora, format text, apply the models through executing pieces of code, gradually discover the theoretical parts by possibl
Who reads Python for Natural Language Processing : Programming with NumPy, scikit-learn, Keras, and PyTorch?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Pierre M. Nugues
- Publisher
- Springer Nature Switzerland AG
- Published
- 2024
- Language
- EN
- ISBN
- 9783031575488
- Category
- nonfiction
- Subjects
- Computer Science, Linguistics, Science
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