models for cloud computing

Computational Modeling: Essential Concepts and Applied Principles - by Tom Halt (Hardcover)

Bayesian Modeling of Uncertainty in Low-Level Vision - (The Springer International Engineering and Computer Science) by Richard Szeliski (Hardcover)

Human + Machine, Updated and Expanded - by Paul R Daugherty & H James Wilson (Hardcover)

Building Neural Networks from Scratch with Python - by L D Knowings (Paperback)

Once a Man - (Hardcover)

Artificially Yours - by Valerie Tiberius (Hardcover)

Cloud Native - by Boris Scholl & Trent Swanson & Peter Jausovec (Paperback)

Big Data on Kubernetes - by Neylson Crepalde (Paperback)

Efficient Cloud FinOps - by Alfonso San Miguel Sánchez & Danny Obando García (Paperback)

Natural Language Processing on Oracle Cloud Infrastructure - by Hicham Assoudi (Paperback)

AI and Machine Learning for On-Device Development - by Laurence Moroney (Paperback)

Implementing DevSecOps Practices - by Vandana Verma Sehgal (Paperback)

Python for Information Professionals - by Brady Lund & Daniel Agbaji & Kossi Dodzi Bissadu (Paperback)

Cognitive Virtual Assistants Using Google Dialogflow - by Navin Sabharwal & Amit Agrawal (Paperback)

Data Engineering with Google Cloud Platform - Second Edition - 2nd Edition by Adi Wijaya (Paperback)

Practical Deep Learning for Cloud, Mobile, and Edge - by Anirudh Koul & Siddha Ganju & Meher Kasam (Paperback)