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Machine Learning and Deep Learning Using Python and TensorFlow (Paperback) Loot Price: R2,858
Discovery Miles 28 580
Machine Learning and Deep Learning Using Python and TensorFlow (Paperback): Venkata Reddy Konasani, Shailendra Kadre

Machine Learning and Deep Learning Using Python and TensorFlow (Paperback)

Venkata Reddy Konasani, Shailendra Kadre

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Loot Price R2,858 Discovery Miles 28 580 | Repayment Terms: R268 pm x 12*

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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Explore the principles and practices of machine learning and deep learning This comprehensive textbook lays out the theories and applications of machine learning and deep learning in a style that is approachable for students and working professionals at all math skill levels. You will discover how to handle data, regression and logistic regression, decision trees, cross-validation techniques and error testing, artificial neural networks (ANN, CNN and RNN), random forests, boosting, and more. Machine Learning and Deep Learning Using Python and TensorFlow includes valuable case studies across professional domains, including banking, insurance, e-commerce, retail, and healthcare. The book presents examples using both Python and TensorFlow programming languages and clearly demonstrates how to utilize this cutting-edge technology in today's "smart" devices. * Presented in a mathematically non-rigorous way * Includes image classification and computer vision tasks * Written by a pair of business analytics experts

General

Imprint: McGraw-Hill Education
Country of origin: United States
Release date: March 2021
Authors: Venkata Reddy Konasani • Shailendra Kadre
Dimensions: 262 x 211 x 33mm (L x W x T)
Format: Paperback - Cloth over boards
Pages: 560
ISBN-13: 978-1-260-46229-6
Categories: Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
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LSN: 1-260-46229-3
Barcode: 9781260462296

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