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Can I read Toward Artificial General Intelligence : Deep Learning, Neural Networks, Generative AI on EtoBox?

Toward Artificial General Intelligence : Deep Learning, Neural Networks, Generative AI by Victor Hugo C. de Albuquerque; Pethuru Raj; Satya Prakash Yadav (editors) is a nonfiction available to read on EtoBox.

What is Toward Artificial General Intelligence : Deep Learning, Neural Networks, Generative AI about?

Artifi cial Intelligence (AI) has been an exciting fi eld of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of preciselyautomating a variety of simple as well as complicated business operations acrossindustry verticals. This book covers the latest trends and transitions happening in thefuturistic AI domain. The book also focuses on machine and deep learning (ML/DL)algorithms, which are, undoubtedly, the mainstream implementation technologies ofstate-of-the-art AI systems and services. Also, there are chapters on computer vision(CV) and natural language processing (NLP), the primary use cases and applicationsof AI. The book has well-written chapters for demystifying AI model engineeringmethods. Further on, our esteemed readers can fi nd details on AI model evaluation,optimization, deployment and observability. Finally, the book deals and describesgenerative AI, the latest buzzword in the IT industry. The book presents the recent ground-breaking changes taking place in the aspects of AI model building, hosting, running and maintaining in cloud environmen

Who reads Toward Artificial General Intelligence : Deep Learning, Neural Networks, Generative AI?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Victor Hugo C. de Albuquerque; Pethuru Raj; Satya Prakash Yadav (editors)
Publisher
de Gruyter GmbH, Walter
Published
2023
Language
EN
ISBN
9783111324166
Category
nonfiction
Subjects
Technology, Science, Computer Science

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