Isbn: 9781491963043 - applied text analysis with python: enabling language-aware data products with machine learning (15 Ergebnisse)

Paperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

paperback. Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. Ex library copy with usual stamps & stickers.…

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. 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. Num Pages: 250 pages. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 250 x 150 x 15. Weight in Grams: 666. . 2018. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.…

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Zustand: fine. edition 2018. l'article peut presenter de tres legers signes d'usure, petites rayures ou imperfections esthetiques. vendeur professionnel; envoi soigne en 24/48h.

Paperback. Zustand: Brand New. 250 pages. 9.25x7.25x0.75 inches. In Stock.

Kartoniert / Broschiert. Zustand: New. This practical book presents a data scientist s approach to building language-aware products with applied machine learning.&Uumlber den AutorrnrnBenjamin Bengfort is a Data Scientist who lives inside the beltway but ignores politics.

Taschenbuch. Zustand: Neu. Neuware - From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist's approach to building language-aware products with applied machine learning.You'll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems.- Preprocess and vectorize text into high-dimensional feature representations- Perform document classification and topic modeling- Steer the model selection process with visual diagnostics- Extract key phrases, named entities, and graph structures to reason about data in text- Build a dialog framework to enable chatbots and language-driven interaction- Use Spark to scale processing power and neural networks to scale model complexity.…

Taschenbuch. Zustand: Neu. Applied Text Analysis with Python | Enabling Language-Aware Data Products with Machine Learning | Benjamin Bengfort (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2018 | O'Reilly Media | EAN 9781491963043 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …