Machine Learning : Develop Machine Learning Tools and Techniques (Deep Learning Models a Programmer's Guide to Artificial Intelligence)

Charles Brown

ISBN 10: 0995996598 / ISBN 13: 9780995996595

Published by Bella Frost, 2023

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Using machine learning and artificial intelligence (AI) in existing business processes has been successful. Even AWS's 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.

Seller Inventory # 9780995996595

Bibliographic Details

• Title: Machine Learning : Develop Machine Learning Tools and Techniques (Deep Learning Models a Programmer's Guide to Artificial Intelligence)
• Publisher: Bella Frost
• Publication Date: 2023
• Language: English
• ISBN 10: 0995996598
• ISBN 13: 9780995996595
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 203W x 127H x 11D millimeters 203 millimeters width by 127 millimeters height by 11 millimeters depth
• Weight: 213 grams

About this title

Synopsis

Using machine learning and artificial intelligence (AI) in existing business processes has been successful. Even AWS's 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 processing
• How to code a collaborative filtering model
• How recommender systems are evaluated
• What you need to know about privacy & ethics
• What the future of Recommender Systems might look like

You 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.