MACHINE LEARNING
found 109 books
Learn Azure in a Month of Lunches
by Iain Foulds
More than 100 Azure services offer everything you need to build and run your applications with all the performance, redundancy, security, and scale that the cloud has to offer. But knowing where to begin with all these services can seem overwhelming. Learn Azure in a Month of Lunches, 2nd Edition, is a tutorial on writing, deploying, and running...
How To Manage Remote Servers with Ansible
by Erika Heidi
This book is designed to introduce you to using Ansible to manage your servers. You'll learn how to install and configure Ansible on a control node, and then how to use it to configure and run commands on remote servers. You'll also learn how to collect tasks into complete Playbooks to automate server setup from start to finish. The to...
Robotics, AI, and Humanity
by Joachim von Braun, Margaret S. Archer, Gregory M. Reichberg, Marcelo Sánchez Sorondo
This open book examines recent advances in how artificial intelligence (AI) and robotics have elicited widespread debate over their benefits and drawbacks for humanity. The emergent technologies have for instance implications within medicine and health care, employment, transport, manufacturing, agriculture, and armed conflict. While there has been...
An Introduction to Ethics in Robotics and AI
by Christoph Bartneck, Christoph Lütge, Alan Wagner, Sean Welsh
This open book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal o...
Technical, Economic and Societal Effects of Manufacturing 4.0
by Mikael Collan, Karl-Erik Michelsen
This open book is among the first cross-disciplinary works about Manufacturing 4.0. It includes chapters about the technical, the economic, and the social aspects of this important phenomenon. Together the material presented allows the reader to develop a holistic picture of where the manufacturing industry and the parts of the society that depend ...
A Treatise on Systems (volume 1)
by Mark Burgess
Network and System Administration usually refers only to the traditional skills and recipes for keeping computers and networks running properly. But, in truth, this view omits the most important part of the system: humans. The skill needed to comprehend and tame systems comprising both humans and machines is that of managing complexity. In this boo...
The Julia Express
by Bogumił Kamiński
Julia is a high-level, dynamic programming language. Its features are well suited for numerical analysis and computational science. Julia works with other languages (C, Python, R, Rust, C++, SQL, JavaScript, ...) The Purpose of this open book is to introduce programmers to the Julia programming by example. This is a simplified exposition of the l...
Managing Cloud Native Data on Kubernetes
by Jeff Carpenter, Patrick McFadin
Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separa...
Earth Observation Open Science and Innovation
by Pierre-Philippe Mathieu, Christoph Aubrecht
Over the past decades, rapid developments in digital and sensing technologies, such as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the way we access, process and exploit Earth Observation data from satell...
New Horizons for a Data-Driven Economy
by José María Cavanillas, Edward Curry, Wolfgang Wahlster
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be...