AI Revealed : Theory, Applications, Ethics

This book is a guide to navigating the ever-changing landscape of artificial intelligence. It is designed for both novices and seasoned professionals, covering a wide range of topics from fundamental concepts to cutting-edge advancements. Readers will investigate the principles of machine learning,...

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Bibliografiske detaljer
Hovedforfatter: Herman, Erik L.
Format: Livre numérique
Sprog:Anglais
Udgivet: Boston, MA : Mercury Learning and Information 2024.
Paris : Cyberlibris
Online adgang:Accès Université d'Orléans et IFPM
Kommentar: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781501520679.jpg
Cyberlibris (ScholarVox) corpus Informatique
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• AI Revealed, Theory, Applications, Ethics, Erik L. Herman, Boston, MA, Mercury Learning and Information, 2024, 1 vol. (185 p.), 978-15-0152-067-9
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520 |a This book is a guide to navigating the ever-changing landscape of artificial intelligence. It is designed for both novices and seasoned professionals, covering a wide range of topics from fundamental concepts to cutting-edge advancements. Readers will investigate the principles of machine learning, explore the intricacies of deep learning architectures, and discover the applications of natural language processing and computer vision. Through concise explanations and practical examples, readers will gain the knowledge and skills necessary to confidently navigate the dynamic field of artificial intelligence. Additionally, the text examines real-world case studies and addresses important ethical issues, providing valuable insights into the ethical implications and societal impacts of technology. FEATURES:Practical applications and case studies with a section on use cases across various industries, including healthcare, finance, transportation, and retail. Actionable steps for getting started with AI include how to set up an AI development environment, learning Python for AI applications, and utilizing popular AI libraries. Resources for further study including, AI online courses, AI communities and forums, and recommended books essentially, a roadmap for continuous learning 
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