Learning eBooks Page 10

Linux and Open Source are attracting unprecedented attention in the high tech world. Debian GNU/Linux is a remarkable demonstration of what the Open Source model can produce: Debian is an all volunteer organization, and their distribution contains only open-source software.This exciting new world can be intimidating for those whose primary computing experience is Microsoft Windows. In Learning Debian/GNU Linux, Bill McCarty has written a book for this new audience, aimed at introducing them to a Unix style operating system.Learning Debian GNU/Linux will guide any new user of Linux through the installing and use of Debian GNU/Linux, the entirely Open Source version of the Linux operating system. It demystifies Linux in terms familiar to Windows users ...

The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited volume brings together these bodies of work, providing a spring...

Why make life difficult for yourself in robotics programming? ROS is a software framework that already supports many functionalities, and this book will tell you everything you need to know to realize its full potential. Overview Model your robot on a virtual world and learn how to simulate it Carry out state-of-the-art Computer Vision tasks Easy to follow, practical tutorials to program your own robots In Detail Both the amateur and the professional roboticist who has ever tried their hand at robotics programming will have faced with the cumbersome task of starting from scratch, usually reinventing the wheel. ROS comes with a great number of already working functionalities, and this book takes you from the first steps to the most elaborate design...

Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level. Overview Use Python and scikit-learn to create intelligent applications Apply regression techniques to predict future behaviour and learn to cluster items in groups by their similarities Make use of classification techniques to perform image recognition and document classification In Detail Machine learning, the art of creating applications that learn from experience and data, has been around for many years. However, in the era of big data, huge amounts of information is being generated. This makes machine learning an unavoidable source o...

Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods. Furthermore, it presents promising results of numerous experiments on real-world data. The area of realtime data mining is currently developing at an exceptionally dynamic pace, and realtime data mining systems are the counterpart of today's data mining systems. Whereas the latter learn from historical data and then use it to deduce necessary actions, realtime analytics systems learn and act continuously and autonomously. In the vanguard of these new analytics system...