KVM实操手册, 英语简练易懂, 讲的面比较全, KVM的相关内容基本都涉及到了, 可操作性强.

Packt.Python.Artificial.Intelligence.Projects.for.Beginners.2018

Getting Started with LLVM Core Libraries 开始学习LLVM的新技术.

Containers are one of the most talked about technologies of recent times. They have become increasingly popular as they are changing the way we develop, deploy, and run software applications. OpenStack gets tremendous traction as it is used by many organizations across the globe and as containers ga

Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking. Key Features Build a full-fledged image processing application using JuliaImages Perform basic to advanced image and video stream processing with Julia's APIs Understand and optimize various features of OpenCV with easy examples Book Description Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it's easy to use and lets you write easy-to-compile and efficient machine code. This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You'll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you'll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned. By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease. What you will learn Analyze image metadata and identify critical data using JuliaImages Apply filters and improve image quality and color schemes Extract 2D features for image com

Blockchain concepts and the Hyperledger technologies are hot topics. Hyperledger is an open source project to create private blockchain applications for different domains including finance, banking, supply chain, IoT and much more. This book will be an easy reference to explore and build blockchain networks using Hyperledger services. This book will start with explaining the blockchain evolution and then proceed to an overview of technologies like Ethereum, R3 Corda, Coco, and Hyperledger. We will learn how to set up and launch Hyperledger Fabric in Bluemix. We will look into the architecture and the components of Hyperledger Fabric which are used to build private blockchain applications. Later we will delve into how we can interact with Hyperledger Fabric blockchain to build private networks from scratch covering all the required principles such as chaincode, smart contracts, cryptocurrencies and much more on the Hyperledger network. By the end of this book, you will be able to build and deploy your own decentralized applications using Hyperledger addressing key pain points encountered in blockchain lifecycle.

英文电子书。。epub格式

Complex statistics in machine learning worry a lot of developers. Knowing statistics helps you build strong machine learning models that are optimized for a given problem statement. I believe that any machine learning practitioner should be proficient in statistics as well as in mathematics, so that they can speculate and solve any machine learning problem in an efficient manner. In this book, we will cover the fundamentals of statistics and machine learning, giving you a holistic view of the application of machine learning techniques for relevant problems. We will discuss the application of frequently used algorithms on various domain problems, using both Python and R programming. We will use libraries such as scikit-learn, e1071, randomForest, c50, xgboost, and so on. We will also go over the fundamentals of deep learning with the help of Keras software. Furthermore, we will have an overview of reinforcement learning with pure Python programming language. The book is motivated by the following goals: To help newbies get up to speed with various fundamentals, whilst also allowing experienced professionals to refresh their knowledge on various concepts and to have more clarity when applying algorithms on their chosen data. To give a holistic view of both Python and R, this book will take you through various examples using both languages. To provide an introduction to new trends in machine learning, fundamentals of deep learning and reinforcement learning are covered with suitable examples to teach you state of the art techniques.

Mastering TensorFlow 1.x_Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras-Packt Publishing(2018) Google’s TensorFlow has become a major player and a go-to tool for developers to bring smart processing within an application. TensorFlow has become a major research and engineering tool in every organization. Thus, there is a need to learn advanced use cases of TensorFlow that can be implemented in all kinds of software and devices to build intelligent systems. TensorFlow is one of its kind, with lots of new updates and bug fixes to bring smart automation into your projects. So in today’s world, it becomes a necessity to master TensorFlow in order to create advanced machine learning and deep learning applications. Mastering TensorFlow will help you learn all the advanced features TensorFlow has to offer. This book funnels down the key information to provide the required expertise to the readers to enter the world of artificial intelligence, thus extending the knowledge of intermediate TensorFlow users to the next level. From implementing advanced computations to trending real-world research areas, this book covers it all. Get to the grips with this highly comprehensive guide to make yourself well established in the developer community, and you'll have a platform to contribute to research works or projects.

Spring 5 Design Patterns is for all Java developers who want to learn Spring for the enterprise application. Therefore, enterprise Java developers will find it particularly useful in the understanding of design patterns used by the Spring Framework and how it solves common design problems in the enterprise application, and they will fully appreciate the examples presented in this book. Before reading this book, readers should have basic knowledge of Core Java, JSP, Servlet, and XML. Spring 5 Framework is newly launched by Pivotal with reactive programming. Spring 5 introduces many new features and enhancements from its previous version. We will discuss all this in the book. Spring 5 Design Patterns will give you in-depth insight about the Spring Framework. The great part of today's Spring Framework is that all companies have already taken it as a primary framework for development of the enterprise application. For Spring, no external enterprise server is needed to start working with it. The goals of writing this book are to discuss all design patterns used behind the Spring Framework and how they are implemented in the Spring Framework. Here, the author has also given you some best practices that must be used in the design and development of the application. The book contains 12 chapters that cover everything from the basics to more complex design pattern such as reactive programming. Spring 5 Design Patterns is divided into three sections. The first section introduces you to the essentials of the design patterns and the Spring Framework. The second section steps behind the front end and shows where Spring fits in the back end of an application. The third section expands on this by showing how to build web applications with Spring and introducing a new feature of the Spring 5 reactive programming. This part also shows how to handle concurrency in the enterprise application.