Applied Deep Learning: Tools, Techniques, and Implementation

This book provides a foundation for developing enterprise ML technologies and is valuable for undergraduate and postgraduate students and industrial practitioners.

Format: Hardback
Length: 341 pages
Publication date: 08 July 2022
Publisher: Springer International Publishing AG

This comprehensive book delves into the practical applications of artificial intelligence within enterprise frameworks and technologies. With a strong applied focus, it aims to equip readers with the essential skills and knowledge required to successfully deliver enterprise-level machine learning (ML) solutions. The book's content is highly relevant to undergraduate and postgraduate students pursuing studies in artificial intelligence and data science, as well as industrial practitioners involved in data analytics and machine learning tasks.

Spanning a wide range of key conceptual aspects, the book serves as a solid foundation for individuals interested in developing their own artificial intelligence applications. It explores topics such as machine learning algorithms, data preprocessing, model selection, and evaluation, providing a thorough understanding of the underlying principles and techniques.

Throughout the text, real-world examples and case studies are used to illustrate the practical implications of AI and ML in various industries, including healthcare, finance, and transportation. These examples help to reinforce the theoretical concepts and provide readers with a hands-on perspective on how AI can be applied to solve real-world problems.

In addition, the book emphasizes the importance of ethical considerations and privacy concerns in the development and deployment of AI technologies. It provides guidance on how to address these challenges and ensure that AI solutions are developed and implemented in a responsible and ethical manner.

Overall, this book is an invaluable resource for anyone seeking to gain a deeper understanding of the practical applications of artificial intelligence in enterprise settings. It offers a comprehensive and up-to-date coverage of the field, making it an essential read for students, professionals, and researchers alike.

Weight: 715g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031044199
Edition number: 1st ed. 2022