Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.
The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0....
"The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it...
This book is about quantum computing and quantum algorithms. The book starts with a chapter introducing the basic rules of quantum mechanics and how they can be used to build quantum circuits and perform computations.
Further, Grover's algorithm is presented for unstructured search discussing its consequences and...
Gain an understanding of Maven’s dependency management and use it to organize basic and multi-module Maven projects. This short book is your quick-start tutorial for learning to use Maven. It includes inconsistently immutable collections, better array construction, and more from the latest Maven version 3.6. This second edition...
Image analysis and processing is steadily gaining relevance within the large number of application fields to which genetic and evolutionary computation (GEC) techniques are applied. Although more and more examples of such applications can be found in literature, they are scattered, apart from a few exceptions, in proceedings and journals dedicated...
This book is a practical guide to Microsoft’s Azure Kubernetes Service (AKS), a container
orchestration platform. The goal of this book is to take the reader from 0 to 100 deploying
and running a Kubernetes cluster on Microsoft Azure cloud. For anyone embarking
on this book, it is ideal to have experience in the...
Using a range of very different examples, this beginner's guide will take you through the
most important aspects of GNU Octave. The book starts by introducing how you work with
mathematical objects like vectors and matrices, demonstrating how to perform simple
arithmetic operations on these objects and explaining how to use some of...
Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from...
