Opening book details…
Can I read Machine Learning and Artificial Intelligence on EtoBox?
Machine Learning and Artificial Intelligence by Ameet V Joshi is a engineering available to read on EtoBox.
What is Machine Learning and Artificial Intelligence about?
<p>This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth
Who reads Machine Learning and Artificial Intelligence?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Ameet V Joshi
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9783030266219
- Category
- engineering
- Subjects
- Engineering, Mathematics, Science
- Updated
- 2026-03-25
More by Ameet V Joshi
Browse all works by Ameet V Joshi
Similar books
- Hands-On Machine Learning with Azure : Build Powerful Models with Cognitive Machine Learning and Artificial Intelligence — Parashar Shah, Thomas K Abraham, Lauri Lehman (2018)
- Artificial Intelligence, Machine Learning and User Interface Design — Abhijit Banubakode (2024)
- Artificial Intelligence and Machine Learning for Sustainable Development: Innovations, Challenges, and Applications — Pawan Whig, Pavika Sharma, Nagender Aneja, Ahmed A. Elngar, Nuno Silva, (2024)
- Artificial Intelligence and Machine Learning — William Brown (2021)
- Artificial Intelligence and Machine Learning Applications for Sustainable Development — A. J. Singh, Nikita Gupta, Sanjay Kumar, Sumit Sharma, Subho Upadhyay, Sandeep (2024)
- Artificial Intelligence and Machine Learning for COVID-19 (Studies in Computational Intelligence, 924) — Fadi Al-Turjman (2021)