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Hands-On Machine Learning with Scikit

Description: Hands-On Machine Learning with Scikit ISBN or UPC: 9781492032649 Book Condition: Used - Good Description: May have some shelf-wear due to normal use. Your purchase funds free job training and education in the greater Seattle area. Thank you for supporting Goodwill's nonprofit mission! Our customer's satisfaction is our top priority. In the event you experience any problems with your order, please contact us prior to leaving a negative or neutral feedback and we'll be sure to offer a speedy resolution to any issues that may arise. Stock photos may not be available on the eBay catalog for all listings. If you purchase an item that doesn't include a photo and it's not what you were expecting, please contact us, and we will take care of your concerns. SEATTLE GOODWILL'S MISSION: Goodwill® provides quality, effective employment training and basic education to individuals experiencing significant barriers to economic opportunity. Donations of quality reusable items from the public are sold in our retail stores and online. Net proceeds from the sale of these goods and financial donations from the community make it possible for us to operate our free job training programs. Your donations and purchases help support these important programs and make the community a better place for all of us.

Price: 36.57 USD

Location: Seattle, Washington

End Time: 2024-11-25T20:26:12.000Z

Shipping Cost: 0 USD

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Hands-On Machine Learning with Scikit

Item Specifics

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Return policy details:

Number of Pages: 848 Pages

Publication Name: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems

Language: English

Publisher: O'reilly Media, Incorporated

Subject: Intelligence (Ai) & Semantics, General, Data Processing, Computer Vision & Pattern Recognition

Publication Year: 2019

Item Height: 1.4 in

Type: Textbook

Item Weight: 43.2 Oz

Item Length: 9.4 in

Author: Aurélien Géron

Subject Area: Mathematics, Computers

Item Width: 7 in

Format: Trade Paperback

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