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Applied Text Analysis with Python: Enabling Language-Aware Data Products with M

Description: Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning paperback Publisher: O''''Reilly Media Jul 31 2018 Edition: ISBN: 9781491963043 Description: Used - Very Good Very Good condition. Grades PrK-1. Stickers inside. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner’s name, short gifter’s inscription or light stamp. Internal SKU: L03B-02661 Wonder Bookhas been in business since 1980 and online since 1997! We have three brick and mortar stores in Baltimore/DC region and over 2 million books online. We have served millions of happy customers. Our merchandise is 100% guaranteed! Simply return the item within 30 days of purchase for a refund. Most of our items ship within one business day via DHL or USPS. Standard Continental U.S. Shipments will arrive within 3-7 business days, Priority 2-6. Check out our multiple item shipping discounts. Check out our other listings! We have over 150,000 additional titles in books/movies/music categories and we are adding 100''s of titles every day so please subscribe to our listings.

Price: 14.54 USD

Location: Frederick, Maryland

End Time: 2024-11-28T10:23:27.000Z

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Applied Text Analysis with Python: Enabling Language-Aware Data Products with M

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Restocking Fee: No

Return shipping will be paid by: Seller

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Book Title: Applied Text Analysis with Python: Enabling Language-Aware Data P

Number of Pages: 330 Pages

Publication Name: Applied Text Analysis with Python : Enabling Language-Aware DATAPRODUCTS with Machine Learning

Language: English

Publisher: O'reilly Media, Incorporated

Item Height: 0.8 in

Publication Year: 2018

Subject: Data Modeling & Design, Natural Language Processing, Data Processing, Databases / General, Programming Languages / Python

Item Weight: 20.1 Oz

Type: Textbook

Item Length: 9.2 in

Author: Tony Ojeda, Rebecca Bilbro, Benjamin Bengfort

Subject Area: Computers

Item Width: 7 in

Format: Trade Paperback

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