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Machine Learning: Develop Machine Learning Tools and Techniques (Deep Learning M

Description: Machine Learning by Charles Brown Using machine learning and artificial intelligence (AI) in existing business processes has been successful. Even AWSs ML and AI services make it simple and economical to conduct machine learning experiments. This book will show readers how to use the complete set of AI and ML services available on AWS to streamline the management of their whole AI operation and speed up their innovation.What You Will Learn: How to prepare your data for processingHow to code a collaborative filtering modelHow recommender systems are evaluatedWhat you need to know about privacy & ethicsWhat the future of Recommender Systems might look likeYou will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). Machine learning or want to deepen your knowledge of the latest developments. FORMAT Paperback CONDITION Brand New Details ISBN0995996598 Author Charles Brown Pages 192 Publisher Bella Frost Year 2023 ISBN-13 9780995996595 Format Paperback Publication Date 2023-06-01 Imprint Bella Frost Subtitle Develop Machine Learning Tools and Techniques (Deep Learning Models a Programmers Guide to Artificial Intelligence) Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159484759;

Price: 28.9 AUD

Location: Melbourne

End Time: 2025-01-07T09:05:05.000Z

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Machine Learning: Develop Machine Learning Tools and Techniques (Deep Learning M

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Item must be returned within: 30 Days

Format: Paperback

ISBN-13: 9780995996595

Author: Charles Brown

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Book Title: Machine Learning

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