Description: Please note this is a shelf pulled item because of damage to front cover. Front cover and first couple pages affected by a cut from opening a packaging. Please see pictures for more information. The book was never used. This textbook is a valuable resource for anyone interested in the subjects of Computers, Science, Expert Systems, Neural Networks, General, and Speech & Audio Processing. It provides comprehensive guidance on how to develop machine learning and deep learning models with Python using Pytorch and Scikit-Learn. The book covers a wide range of topics, including textbook-style equations and explanations, code snippets, and practical exercises. With a publication year of 2022, this trade paperback has 774 pages and is written in English by Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov, and Sebastian Raschka. The book is published by Packt Publishing.
Price: 24.99 USD
Location: South Bend, Indiana
End Time: 2024-11-24T16:18:25.000Z
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Restocking Fee: No
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
Publisher: Packt Publishing, The Limited
Publication Year: 2022
Subject: Expert Systems, Neural Networks, General, Speech & Audio Processing
Number of Pages: 774 Pages
Publication Name: Machine Learning with Pytorch and Scikit-Learn : Develop Machine Learning and Deep Learning Models with Python
Language: English
Type: Textbook
Author: Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov, Sebastian Raschka
Subject Area: Computers, Science
Format: Trade Paperback