It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm(DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and numbe...
This book provides a comprehensive toolbox of analysis techniques forionospheric multi-satellite missions. The immediate need for this volume was motivatedby the ongoing ESA Swarm satellite mission, but the tools that are described are generaland can be used for any future ionospheric multi-satellite mission with comparableinstrumentation.
In addi...
Containers have revolutionized software development, allowing developers to bundle their applications with everything they need, from the operating system up, into a single package. Docker is one of the most popular platforms for containers, allowing them to be hosted on-premises or on the cloud, and to run on Linux, Windows, and Mac machines. With...
This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorit...
This book presents the proceedings of the 2nd Africa-EU Renewable Energy Research and Innovation Symposium (RERIS 18), held in Maseru, Lesotho in January 2018. The symposium aimed to foster research cooperation on renewable energy between Africa and Europe - in academia, as well as the private and public sectors.
Addressing thematic areas such as:...
This book bridges the gap between playing with robots in school and studying robotics at the upper undergraduate and graduate levels to prepare for careers in industry and research. Robotic algorithms are presented formally, but using only mathematics known by high-school and first-year college students, such as calculus, matrices and probability. ...
Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, cla...
This book establishes the foundations needed to realize the ultimate goals for artificial intelligence, such as autonomy and trustworthiness. Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a s...
With the introduction of container support in Windows Server 2016, we open a world of opportunities that takes traditional monolithic applications on a journey to modernize them for better agility. Containers are a stepping stone that can help IT organizations understand what key items in modern IT environments, such as DevOps, Agile, Scrum, Infras...
When you start building your first containerized application, you're excited about the capabilities and opportunities you encounter: it runs the same in dev and in prod, it's straightforward to put together a container image using Docker, and the distribution is taken care of by a container registry.
So, you're satisfied with how ...