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Springer Innovations in Machine and Deep Learning Book

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Description

Explore the practical applications of artificial intelligence with Innovations in Machine and Deep Learning: Case Studies and Applications. Published by Springer as part of the Studies in Big Data series, this volume examines how AI impacts various sectors including health care and sustainability. The text covers essential machine learning topics such as deep learning, decision-making, forecasting, and pattern recognition. It is designed for a wide audience, ranging from students and teachers to managers, scientists, and investors. By focusing on information retrieval and interpretable AI, this book provides real-world context for those looking to understand the implementation of advanced technology in professional environments.

Key Features

This Springer publication provides numerous successful applications of AI across various professional contexts.

The content covers machine learning topics including deep learning, decision-making, and forecasting.

Readers can explore technical areas such as pattern recognition, information retrieval, and interpretable AI.

This volume is part of the Studies in Big Data series, specifically volume 134.

The case studies offer insights for students, managers, scientists, health personnel, and technical roles.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 September 2024
Listed Since
01 October 2024

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