Description: Python for TensorFlow Pocket Primer by Oswald Campesato Estimated delivery 3-12 business days Format Paperback Condition Brand New Description No detailed description available for "Python for TensorFlow Pocket Primer". Publisher Description As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Dataset refers to the classes in the tf.data.Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e.g., map(), filter(), batch(), and so forth, based on data from one or more data sources. Companion files with source code are available for downloading from the publisher. FEATURES, A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.x, Contains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topics, Includes many examples of TensorFlow Dataset APIs with lazy operators, e.g., map(), filter(), batch(), take() and also method chaining such operators, Assumes the reader has very limited experience, Includes companion files with all of the source code examples (download from the publisher). Author Biography Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information). Details ISBN 1683923618 ISBN-13 9781683923619 Title Python for TensorFlow Pocket Primer Author Oswald Campesato Format Paperback Year 2019 Pages 218 Publisher Mercury Learning & Information GE_Item_ID:137376944; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 31.58 USD
Location: Fairfield, Ohio
End Time: 2024-09-20T03:14:28.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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ISBN-13: 9781683923619
Book Title: Python for TensorFlow Pocket Primer
Number of Pages: 200 Pages, 218 Pages
Publication Name: Python for Tensorflow Pocket Primer
Language: English
Publisher: Mercury Learning & Information
Subject: Programming / General, Programming Languages / Python
Publication Year: 2019
Type: Textbook
Item Weight: 11.9 Oz
Author: Oswald Campesato
Subject Area: Computers
Item Length: 9 in
Item Width: 6 in
Series: Computing and Information Technology Ser.
Format: Trade Paperback