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Mastering Apache Spark 2.x - Second Edition
Mastering Apache Spark <em>2.x</em> - Second Edition by Romeo Kienzler English | 26 July 2017 | ISBN: 1786462745 | ASIN: B01MR4YF5G | 354 Pages | AZW3 | 13.74 MB Advanced analytics on your Big Data with latest Apache Spark <em>2.x</em> About This Book An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in Spark. Master the art of real-time processing with the help of Apache Spark <em>2.x</em> Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J Study highly optimised unified batch and real-time data processing using SparkSQL and Structured Streaming Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud Understand internal details of cost based optimizers used in Catalyst, SystemML and GraphFrames Learn how specific parameter settings affect overall performance of an Apache Spark cluster Leverage Scala, R and python for your data science projects In Detail Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark to the next level by teaching you how to expand Spark's functionality and implement your data flows and machine/deep learning programs on top of the platform. The book commences with an overview of the Spark ecosystem. It will introduce you to Project Tungsten and Catalyst, two of the major advancements of Apache Spark <em>2.x</em>. You will understand how memory management and binary processing, cache-aware computation, and code generation are used to speed things up dramatically. The book extends to show how to incorporate H20, SystemML, and Deeplearning4j for machine learning, and Jupyter Notebooks and Kubernetes/Docker for cloud-based Spark. During the course of the book, you will learn about the latest enhancements to Apache Spark <em>2.x</em>, such as interactive querying of live data and unifying DataFrames and Datasets. You will also learn about the updates on the APIs and how DataFrames and Datasets affect SQL, machine learning, graph processing, and streaming. You will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.
Mastering Apache Spark 2.x Second Edition
Mastering Apache Spark <em>2.x</em> Second Edition pdf 格式
Mastering OpenCV 3 - Second Edition.pdf
Preface Mastering OpenCV3, Second Edition contains seven chapters, where each chapter is a tutorial for an entire project from start to finish, based on OpenCV's C++ interface, including the full source code. The author of each chapter was chosen for their well-regarded online contributions to the OpenCV community on that topic, and the book was reviewed by one of the main OpenCV developers. Rather than explaining the basics of OpenCV functions, this book shows how to apply OpenCV to solve whole problems, including several 3D camera projects (augmented reality, and 3D structure from Motion) and several facial analysis projects (such as skin detection, simple face and eye detection, complex facial feature tracking, 3D head orientation estimation, and face recognition), therefore it makes a great companion to the existing OpenCV books.
Mastering+Bootstrap+4,+2nd+Edition-Packt+Publishing(2018).epub
Bootstrap is a free CSS and JavaScript framework that allows developers to rapidly build responsive web interfaces. The framework was first conceived by Mark Otto and Jacob Thornton while working at Twitter in 2010. Since its release as an open source project in August of 2011, Bootstrap has become a household name among frontend web developers. The framework’s ease-of-use along with its cross-browser compatibility, support for mobile user interfaces, and responsive web design capabilities, make it an essential building block for any modern web application. Totaling over 600 contributors, and more than 34,000 GitHub forks, Bootstrap has become the world’s most popular responsive web development framework. However, despite its popularity, there are relatively few advanced resources on the fourth, and latest, version of Bootstrap. As such, the motivation behind this book is to provide a comprehensive, step-by-step guide for developers that wish to build a complete, production-ready, website using Bootstrap 4. Once you turn the final pages of this book, you should be <em>mastering</em> the framework’s ins and outs, and building highly customizable and optimized web interfaces. You will know how to both extend the framework, integrate it with third-party components and frameworks, as well as optimize and automate your Bootstrapped builds.
Mastering Kubernetes 2nd edition.pdf
最新版的<em>mastering</em> kubernetes 2nd第二版,2018年4月出版,高清,附带书签。精通kubernetes必备书籍
mastering apache spark 2.x second edition
<em>spark</em> 学习英文书籍,主要入门并掌握基本的知识。<em>spark</em>作为大数据工具,值得工程技术人员深入学习。
Mastering OpenStack - Second Edition
2017年5月的新书,pdf版。 Book Description In this <em>second</em> <em>edition</em>, you will get to grips with the latest features of OpenStack. Starting with an overview of the OpenStack architecture, you'll see how to adopt the DevOps style of automation while deploying and operating in an OpenStack environment. We'll show you how to create your own OpenStack private cloud. Then you'll learn about various hypervisors and container technology supported by OpenStack. You'll get an understanding about the segregation of compute nodes based on reliability and availability needs. We'll cover various storage types in OpenStack and advanced networking aspects such as SDN and NFV. Next, you'll understand the OpenStack infrastructure from a cloud user point of view. Moving on, you'll develop troubleshooting skills, and get a comprehensive understanding of services such as high availability and failover in OpenStack. Finally, you will gain experience of running a centralized logging server and monitoring OpenStack services. The book will show you how to carry out performance tuning based on OpenStack service logs. You will be able to master OpenStack benchmarking and performance tuning. By the end of the book, you'll be ready to take steps to deploy and manage an OpenStack cloud with the latest open source technologies.
Mastering Microservices with Java 9 Second Edition.pdf
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Packt.Mastering.Embedded.Linux.Programming.2nd.Edition.2017
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Mastering ROS for Robotics Programming 原版PDF by Joseph
Mastering ROS for Robotics Programming is an advanced guide of ROS that is very suitable for readers who already have a basic knowledge in ROS. ROS is widely used in robotics companies, universities, and robotics research institutes for designing, building, and simulating a robot model and interfacing it into real hardware. ROS is now an essential requirement for Robotic engineers; this guide can help you acquire knowledge of ROS and can also help you polish your skills in ROS using interactive examples. Even though it is an advanced guide, you can see the basics of ROS in the first chapter to refresh the concepts. It also helps ROS beginners. The book mainly focuses on the advanced concepts of ROS, such as ROS Navigation stack, ROS MoveIt!, ROS plugins, nodelets, controllers, ROS Industrial, and so on.
Mastering Docker Second Edition
Mastering Docker Second Edition, Master this widely used containerization tool
mastering Qt5
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Mastering NGINX 2nd Edition
Mastering NGINX 2nd Edition Mastering NGINX 2nd Edition
Mastering TypeScript - Second Edition 原书高清PDF及代码
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Mastering VMware Horizon 7 - Second Edition - Vandait (高清原版)
Mastering VMware Horizon 7 - Second Edition - Vandait (高清原版)
Learning Linux Shell Scripting 2nd Edition pdf
Learning Linux Shell Scripting 2nd Edition pdf Break through the practice of writing tedious code with shell scripts Key Features Learn to impeccably build shell scripts and develop advanced applications Create smart solutions by writing and debugging scripts A step-by-step tutorial to automate routine tasks by developing scripts Book Description Linux is the most powerful and universally adopted OS. Shell is a program that gives the user direct interaction with the operating system. Scripts are collections of commands that are stored in a file. The shell reads this file and acts on commands as if they were typed on the keyboard. Learning Linux Shell Scripting covers Bash, GNU Bourne Again Shell, preparing you to work in the exciting world of Linux shell scripting. CentOS is a popular rpm-based stable and secured Linux distribution. Therefore, we have used CentOS distribution instead of Ubuntu distribution. Linux Shell Scripting is independent of Linux distributions, but we have covered both types of distros. We start with an introduction to the Shell environment and basic commands used. Next, we explore process management in Linux OS, real-world essentials such as debugging and perform Shell arithmetic fluently. You'll then take a step ahead and learn new and advanced topics in Shell scripting, such as decision making, starting up a system, and customizing a Linux environment. You will also learn about grep, stream editor, and AWK, which are very powerful text filters and editors. Finally, you'll get to grips with taking backup, using other language scripts in Shell Scripts as well as automating database administration tasks for MySQL and Oracle. By the end of this book, you will be able to confidently use your own shell scripts in the real world. What you will learn Familiarize yourself with the various text filtering tools available in Linux Understand expressions and variables and how to use them practically Automate decision-making and save a lot of time and effort of revisiting code Get to grips with advanced functionality such as using traps, dialogs to develop screens & Database administration such as MySQL or Oracle Start up a system and customize a Linux system Taking backup of local or remote data or important files. Use existing other language scripts such as Python, Perl & Ruby in Shell Scripts Who this book is for Learning Linux Shell Scripting is ideal for those who are proficient at working with Linux and want to learn about shell scripting to improve their efficiency and practical skills. Table of Contents Getting Started and Working with Shell Scripting Drilling Deep into Process Management, Job control, and Automation Using Text processing & filters in your scripts Working with Commands Exploring Expressions and Variables Neat Tricks with Shell Scripting Performing Arithmetic Operations in Shell Scripts Automating Decision Making in Scripts Automating Repetitive Tasks Working with Functions Using Advanced Functionality in Scripts System Start-up and Customizing a Linux System Understanding Pattern Matching and Regular Expressions with sed & awk Embedding other languages in Scripts Database administration using Shell Scripts
Mastering Drupal 8
Mastering Drupal 8 (精通 Drupal 8 k开发). Drupal 是流行的CMS框架。
Mastering Unity 2017 Game Development with C#(2nd) 无水印pdf转化版
Mastering Unity 2017 Game Development with C#(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
PostgreSQL Replication 2nd 原版PDF by Schonig
Since the first <em>edition</em> of PostgreSQL Replication many new technologies have emerged or improved. In the PostgreSQL community, countless people around the globe have been working on important techniques and technologies to make PostgreSQL even more useful and more powerful. To make sure that readers can enjoy all those new features and powerful tools, I have decided to write a <em>second</em>, improved <em>edition</em> of PostgreSQL Replication. Due to the success of the first <em>edition</em>, the hope is to make this one even more useful to administrators and developers alike around the globe. All the important new developments have been covered and most chapters have been reworked to make them easier to understand, more complete and absolutely up to date. I hope that all of you can enjoy this book and benefit from it.
Spark In Action, 2nd Edition
This book intended to go beyond the basics and enable you to create useful applications with Spark, comes complete with sample code and a case study. The Spark data processing environment is gaining ever more ground among data scientists wanting to analyze distributed data, and this book is designed to get you to a point where you can do real work using Spark. The book starts with an introduction to Spark, after which the Spark fundamentals are introduced. In practical terms, this means the <em>spark</em>-in-action VM, using the Spark shell and writing apps in Spark, the basics of RDD (resilient distributed dataset) actions, transformations, and double RDD functions. There's a chapter on writing Spark applications in Eclipse that looks at aspects such as loading JSON, aggregating data, and broadcast variables. The Spark API is then looked at in more detail.
Mastering Python Design Patterns 2nd Edition
Mastering Python Design Patterns: A guide to creating smart, efficient, and reusable software, 2nd Edition Exploit various design patterns to master the art of solving problems using Python Python is an object-oriented scripting language that is used in a wide range of categories. In software engineering, a design pattern is an elected solution for solving software design problems. Although they have been around for a while, design patterns remain one of the top topics in software engineering, and are a ready source for software developers to solve the problems they face on a regular basis. This book takes you through a variety of design patterns and explains them with real-world examples. You will get to grips with low-level details and concepts that show you how to write Python code, without focusing on common solutions as enabled in Java and C++. You’ll also fnd sections on corrections, best practices, system architecture, and its designing aspects. This book will help you learn the core concepts of design patterns and the way they can be used to resolve software design problems. You’ll focus on most of the Gang of Four (GoF) design patterns, which are used to solve everyday problems, and take your skills to the next level with reactive and functional patterns that help you build resilient, scalable, and robust applications. By the end of the book, you’ll be able to effciently address commonly faced problems and develop applications, and also be comfortable working on scalable and maintainable projects of any size.
Mastering Microservices with Java 无水印pdf
Mastering Microservices with Java 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Mastering Bootstrap 4 无水印原版pdf
Mastering Bootstrap 4 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
Mastering Ansible - Second Edition.pdf
Mastering Ansible - Second Edition by Jesse Keating English | 30 Mar. 2017 | ISBN 978-1-78712-568-1 | 303 Pages | PDF | 18.1 MB Key Features Learn how to extend Ansible with custom modules, plugins, and inventory sources Utilize advanced Ansible features to orchestrate rolling updates with little to no service disruptions An up-to-date book that brings to light the newly added features in Ansible <em>2.x</em> Book Description This book provides you with the knowledge you need to understand how Ansible 2.1 works at a fundamental level and leverage its advanced capabilities. You'll learn how to encrypt Ansible content at rest and decrypt data at runtime. You will master the advanced features and capabilities required to tackle the complex automation challenges of today and beyond. You will gain detailed knowledge of Ansible workflows, explore use cases for advanced features, craft well thought out orchestrations, troubleshoot unexpected behaviour, and extend Ansible through customizations. Finally, you will discover the methods used to examine and debug Ansible operations, helping you to understand and resolve issues. By the end of the book, the readers will be able to unlock the true power of the Ansible automation engine and will tackle complex real world actions with ease. What you will learn Gain an in-depth understanding of how Ansible works under the covers Fully automate the Ansible playbook executions with encrypted data Access and manipulate variable data within playbooks Use Blocks to construct failure recovery or cleanup Explore the Playbook debugger and Ansible Console Troubleshoot unexpected behavior effectively Work with cloud infrastructure providers and container systems Develop custom modules, plugins, and dynamic inventory sources About the Author Jesse Keating is an accomplished Ansible user, contributor, and presenter. He has been an active member of the Linux and open source community for over fifteen years. He has first-hand experience with a variety of IT activities, software development, and large-scale system administration. He has presented at numerous conferences and meet-ups, and has written many articles on a variety of topics. Table of Contents System Architecture and Design of Ansible Protecting Your Secrets with Ansible Unlocking the Power of Jinja2 Templates Controlling Task Conditions Composing Reusable Ansible Content with Roles Minimizing Downtime with Rolling Deployments Troubleshooting Ansible Extending Ansible Infrastructure Provisioning
Mastering Embedded Linux Programming(2nd) 无水印pdf
Mastering Embedded Linux Programming(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Packt.Mastering.PostgreSQL10
Packt.Mastering.PostgreSQL.10.2018.1.pdf 很不错的关于postgresql数据库的书籍
Mastering Machine Learning with R - Second Edition
Mastering Machine Learning with R - Second Edition by Cory Lesmeister English | 24 Apr. 2017 | ASIN: B01N5XJ3O0 | 420 Pages | AZW3 | 4.42 MB Key Features Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning Implement advanced concepts in machine learning with this example-rich guide Book Description This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more. You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you'll understand how these concepts work and what they do. With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets. What you will learn Gain deep insights into the application of machine learning tools in the industry Manipulate data in R efficiently to prepare it for analysis Master the skill of recognizing techniques for effective visualization of data Understand why and how to create test and training data sets for analysis Master fundamental learning methods such as linear and logistic regression Comprehend advanced learning methods such as support vector machines Learn how to use R in a cloud service such as Amazon About the Author Cory Lesmeister has over a dozen years of quantitative experience and is currently a Senior Quantitative Manager in the banking industry, responsible for building marketing and regulatory models. Cory spent 16 years at Eli Lilly and Company in sales, market research, Lean Six Sigma, marketing analytics, and new product forecasting. A former U.S. Army active duty and reserve officer, Cory was in Baghdad, Iraq, in 2009 serving as the strategic advisor to the 29,000-person Iraqi Oil Police, where he supplied equipment to help the country secure and protect its oil infrastructure. An aviation aficionado, Cory has a BBA in aviation administration from the University of North Dakota and a commercial helicopter license. Table of Contents A Process for Success Linear Regression - The Blocking and Tackling of Machine Learning Logistic Regression and Discriminant Analysis Advanced Feature Selection in Linear Models More Classification Techniques - K-Nearest Neighbors and Support Vector Machines Classification and Regression Trees Neural Networks and Deep Learning Cluster Analysis Principal Components Analysis Market Basket Analysis, Recommendation Engines, and Sequential Analysis Creating Ensembles and Multiclass Classification Time Series and Causality Text Mining R on the Cloud R Fundamentals Sources
Mastering Xamarin UI Development pdf
Book Description Xamarin is the most powerful cross-platform mobile development framework. If you are interested in creating stunning user interfaces for the iOS and Android mobile platforms using the power of Xamarin and Xamarin.Forms, then this is your ticket. This book will provide you the practical skills required to develop real-world Xamarin applications. You will learn how to implement UI structures and layouts, create customized elements, and write C# scripts to customize layouts. You will create UI layouts from scratch so that you can tweak and customize a given UI layout to suit your needs by using Data Templates. Moving on, you will use third-party libraries – such as the Razor template engine that allows you to create your own HTML5 templates within the Xamarin environment – to build a book library Hybrid solution that uses the SQLite.Net library to store, update, retrieve, and delete information within a SQLite local database. You’ll also implement key data-binding techniques that will make your user interfaces dynamic, and create personalized animations and visual effects within your user interfaces using Custom Renderers and the PlatformEffects API to customize and change the appearance of control elements. At the end of this book, you will test your application UI for robust and consistent behavior and then explore techniques to deploy to different platforms.
Mastering Python Networking 2nd Edition
Mastering Python Networking 2nd Edition
Python for Finance(2nd) 无水印pdf
Python for Finance(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Mastering Qt 5
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Mastering Node.js(2nd).mobi
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Node.js的设计模式,方便大家更好的使用node.js,写出更合理的项目代码
Scala for Machine Learning(2nd) 无水印pdf
Scala for Machine Learning(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Learning Node.js_2nd Edition (无水印)
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Mastering Qt 5 无水印pdf下载
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mastering java 11 第二版
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Mastering Predictive Analytics with R(2nd) 无水印pdf
Mastering Predictive Analytics with R(2nd) 英文无水印pdf 第2版 pdf转化版,非原版pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Mastering Embedded Linux Programming, 2nd Edition-Packt Publishing(2017).pdf
Linux has been the mainstay of embedded computing for many years. And yet, there are remarkably few books that cover the topic as a whole: this book is intended to fill that gap. The term embedded Linux is not well-defined, and can be applied to the operating system inside a wide range of devices ranging from thermostats to Wi-Fi routers to industrial control units. However, they are all built on the same basic open source software. Those are the technologies that I describe in this book, based on my experience as an engineer and the materials I have developed for my training courses. Technology does not stand still. The industry based around embedded computing is just as susceptible to Moore's law as mainstream computing. The exponential growth that this implies has meant that a surprisingly large number of things have changed since the first <em>edition</em> of this book was published. This <em>second</em> <em>edition</em> is fully revised to use the latest versions of the major open source components, which include Linux 4.9, Yocto Project 2.2 Morty, and Buildroot 2017.02. Since it is clear that embedded Linux will play an important part in the Internet of Things, there is a new chapter on the updating of devices in the field, including Over the Air updates. Another trend is the quest to reduce power consumption, both to extend the battery life of mobile devices and to reduce energy costs. The chapter on power management shows how this is done. Mastering Embedded Linux Programming covers the topics in roughly the order that you will encounter them in a real-life project. The first 6 chapters are concerned with the early stages of the project, covering basics such as selecting the toolchain, the bootloader, and the kernel. At the conclusion of this this section, I introduce the idea of using an embedded build tool, using Buildroot and the Yocto Project as examples. The middle part of the book, chapters 7 through to 13, will help you in the implementation phase of the project. It covers the topics of filesystems, the init program, multithreaded programming, software update, and power management. The third section, chapters 14 and 15, show you how to make effective use of the many debug and profiling tools that Linux has to offer in order to detect problems and identify bottlenecks. The final chapter brings together several threads to explain how Linux can be used in real-time applications. Each chapter introduces a major area of embedded Linux. It describes the background so that you can learn the general principles, but it also includes detailed worked examples that illustrate each of these areas. You can treat this as a book of theory, or a book of examples. It works best if you do both: understand the theory and try it out in real life.
Mastering ROS for Robotics Programming - Second Edition
In this day and age, robotics has been gaining a lot of traction in various industries where consistency and perfection matter. Automation is achieved via robotic applications and various platforms that support robotics. The Robot Operating System &#40;ROS&#41; is a modular software platform to develop generic robotic applications. This book focuses on the most stable release of ROS (Kinetic Kame), discusses advanced concepts, and effectively teaches you programming using ROS. We begin with aninformative overview of the ROS framework, which will give you a clear idea of how ROS works. During the course of this book, you'll learn to build models of complex robots, and simulate and interface the robot using the ROS MoveIt! motion planning library and ROS navigation stacks. Learn to leverage several ROS packages to embrace your robot models. After covering robot manipulation and navigation, you'll get to grips with the interfacing I/O boards, sensors, and actuators of ROS. Vision sensors are a key component of robots, and an entire chapter is dedicated to the vision sensor and image elaboration, its interface in ROS and programming. You'll also understand the hardware interface and simulation of complex robots to ROS and ROS Industrial. At the end of this book, you'll discover the best practices to follow when programming using ROS.
[免积分]Mastering Machine Learning with scikit-learn.pdf
介绍可见:http://www.amazon.com/gp/product/B00P0W7EC0/ref=s9_simh_gw_p351_d1_i4?pf_rd_m=ATVPDKIKX0DER&pf_rd_s=desktop-1&pf_rd_r=188436AXTESKG2D948V8&pf_rd_t=36701&pf_rd_p=2079475242&pf_rd_i=desktop
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Apache Hive Essentials, 2nd Edition
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Machine Learning with Spark 2nd Edition
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Learning TypeScript 2.x(2nd) epub
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Mastering Machine Learning with Spark 2.X
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Mastering Machine Learning with Spark 2.X 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Mastering Machine Learning with Spark 2.x-Packt Publishing(2017).pdf
Big data – that was our motivation to explore the world of machine learning with Spark a couple of years ago. We wanted to build machine learning applications that would leverag models trained on large amounts of data, but the beginning was not easy. Spark was still evolving, it did not contain a powerful machine learning library, and we were still trying to figure out what it means to build a machine learning application. But, step by step, we started to explore different corners of the Spark ecosystem and followed Spark’s evolution. For us, the crucial part was a powerful machine learning library, which would provide features such as R or Python libraries did. This was an easy task for us, since we are actively involved in the development of H2O’s machine learning library and its branch called Sparkling Water, which enables the use of the H2O library from Spark applications. However, model training is just the tip of the machine learning iceberg. We still had to explore how to connect Sparkling Water to Spark RDDs, DataFrames, and DataSets, how to connect Spark to different data sources and read data, or how to export models and reuse them in different applications. During our journey, Spark evolved as well. Originally, being a pure Scala project, it started to expose Python and, later, R interfaces. It also took its Spark API on a long journey from low-level RDDs to a high-level DataSet, exposing a SQL-like interface. Furthermore, Spark also introduced the concept of machine learning pipelines, adopted from the scikit-learn library known from Python. All these improvements made Spark a great tool for data transformation and data processing. Based on this experience, we decided to share our knowledge with the rest of the world via this book. Its intention is simple: to demonstrate different aspects of building Spark machine learning applications on examples, and show how to use not only the latest Spark features, but also low-level Spark interfaces. On our journey, we also figure out many tricks and shortcuts not only connected to Spark, but also to the process of developing machine learning applications or source code organization. And all of them are shared in this book to help keep readers from making the mistakes we made. The book adopted the Scala language as the main implementation language for our examples. It was a hard decision between using Python and Scala, but at the end Scala won. There were two main reasons to use Scala: it provides the most mature Spark interface and most applications deployed in production use Scala, mostly because of its performance benefits due to the JVM. Moreover, all source code shown in this book is also available online. Preface We hope you enjoy our book and it helps you navigate the Spark world and the development of machine learning applications.
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Python for Finance - Second Edition 【含代码】
Python for Finance - Second Edition English | 2017 | ISBN-10: 1787125696 | 586 pages | PDF/MOBI/EPUB (conv) | 4.5 Mb Learn and implement various Quantitative Finance concepts using the popular Python libraries About This Book Understand the fundamentals of Python data structures and work with time-series data Implement key concepts in quantitative finance using popular Python libraries such as NumPy, SciPy, and matplotlib A step-by-step tutorial packed with many Python programs that will help you learn how to apply Python to finance Who This Book Is For This book assumes that the readers have some basic knowledge related to Python. However, he/she has no knowledge of quantitative finance. In addition, he/she has no knowledge about financial data. What You Will Learn Become acquainted with Python in the first two chapters Run CAPM, Fama-French 3-factor, and Fama-French-Carhart 4-factor models Learn how to price a call, put, and several exotic options Understand Monte Carlo simulation, how to write a Python program to replicate the Black-Scholes-Merton options model, and how to price a few exotic options Understand the concept of volatility and how to test the hypothesis that volatility changes over the years Understand the ARCH and GARCH processes and how to write related Python programs In Detail This book uses Python as its computational tool. Since Python is free, any school or organization can download and use it. This book is organized according to various finance subjects. In other words, the first <em>edition</em> focuses more on Python, while the <em>second</em> <em>edition</em> is truly trying to apply Python to finance. The book starts by explaining topics exclusively related to Python. Then we deal with critical parts of Python, explaining concepts such as time value of money stock and bond evaluations, capital asset pricing model, multi-factor models, time series analysis, portfolio theory, options and futures. This book will help us to learn or review the basics of quantitative finance and apply Python to solve various problems, such as estimating IBM's market risk, running a Fama-French 3-factor, 5-factor, or Fama-French-Carhart 4 factor model, estimating the VaR of a 5-stock portfolio, estimating the optimal portfolio, and constructing the efficient frontier for a 20-stock portfolio with real-world stock, and with Monte Carlo Simulation. Later, we will also learn how to replicate the famous Black-Scholes-Merton option model and how to price exotic options such as the average price call option. Style and approach This book takes a step-by-step approach in explaining the libraries and modules in Python, and how they can be used to implement various aspects of quantitative finance. Each concept is explained in depth and supplemented with code examples for better understanding.
Learning Spring Boot 2.0, 2nd Edition
Key Features 免费<em>下载</em>地址:https://u15597525.ctfile.com/fs/15597525-227624829 Get up to date with the defining characteristics of Spring Boot 2.0 in Spring Framework 5 Learn to perform Reactive programming with SpringBoot This book covers the latest features, tools, and practices including Spring MVC, REST, Security, AMPQ messaging, and more Book Description Spring Boot provides a variety of features that address today's business needs with a powerful database and state of the art MVC framework. This practical guide will help you get up and running with all the latest features of Spring Boot. The book starts off by helping you build a simple app, then show you how to bundle and deploy it to the cloud. From here, we take you through reactive programming showing you how to interact with controllers and templates and handle data access. Once you're done, you can start testing using unit tests, slice, and embedded spring boot tests. We also go into detail about developer tools, messaging, web sockets, security, and deployment. So if you want a good understanding of the core app functionality using Spring Boot, this is the book for you. 免费<em>下载</em>地址:https://u15597525.ctfile.com/fs/15597525-227624829
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Apache Cassandra is a massively scalable, peer-to-peer database designed for 100 percent uptime, with deployments in the tens of thousands of nodes, all supporting petabytes of data. This book offers a practical insight into building highly available, real-world applications using Apache Cassandra. The book starts with the fundamentals, helping you to understand how Apache Cassandra’s architecture allows it to achieve 100 percent uptime when other systems struggle to do so. You’ll get an excellent understanding of data distribution, replication, and Cassandra’s highly tunable consistency model. Then we take an in-depth look at Cassandra’s robust support for multiple data centers, and you’ll see how to scale out a cluster. Next, the book explores the domain of application design, with chapters discussing the native driver and data modeling. Lastly, you’ll find out how to steer clear of common anti-patterns and take advantage of Cassandra’s ability to fail gracefully. What you will learn Understand how the core architecture of Cassandra enables highly available applications Use replication and tunable consistency levels to balance consistency, availability, and performance Set up multiple data centers to enable failover, load balancing, and geographic distribution Add capacity to your cluster with zero downtime Take advantage of high availability features in the native driver Create data models that scale well and maximize availability Understand common anti-patterns so you can avoid them Keep your system working well even during failure scenarios
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Learning Apache Cassandra - Second Edition by Sandeep Yarabarla English | 25 Apr. 2017 | ASIN: B01N52R0B5 | 360 Pages | AZW3 | 10.68 MB Key Features Install Cassandra and set up multi-node clusters Design rich schemas that capture the relationships between different data types Master the advanced features available in Cassandra 3.x through a step-by-step tutorial and build a scalable, high performance database layer Book Description Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer. The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you'll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you'll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations using a Java client. By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications. What you will learn Install Cassandra Create keyspaces and tables with multiple clustering columns to organize related data Use <em>second</em>ary indexes and materialized views to avoid denormalization of data Effortlessly handle concurrent updates with collection columns Ensure data integrity with lightweight transactions and logged batches Understand eventual consistency and use the right consistency level for your situation Understand data distribution with Cassandra Develop simple application using Java driver and implement application-level optimizations About the Author Sandeep Yarabarla is a professional software engineer working for Verizon Labs, based out of Palo Alto, CA. After graduating from Carnegie Mellon University, he has worked on several big data technologies for a spectrum of companies. He has developed applications primarily in Java and Go. His experience includes handling large amounts of unstructured and structured data in Hadoop, and developing data processing applications using Spark and MapReduce. Right now, he is working with some cutting-edge technologies such as Cassandra, Kafka, Mesos, and Docker to build fault-tolerant and highly scalable applications. Table of Contents Getting Up and Running with Cassandra The First Table Organizing Related Data Beyond Key-Value Lookup Establishing Relationships Denormalizing Data for Maximum Performance Expanding Your Data Model Collections, Tuples, and User-Defined Types Aggregating Time-Series Data How Cassandra Distributes Data Cassandra Multi-Node Cluster Application Development Using the Java Driver Peeking under the Hood Authentication and Authorization
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Mastering Ansible - Second Edition by Jesse Keating English | 30 Mar. 2017 | ASIN: B01N5HQ2AE | 310 Pages | AZW3 | 11.56 MB Key Features Learn how to extend Ansible with custom modules, plugins, and inventory sources Utilize advanced Ansible features to orchestrate rolling updates with little to no service disruptions An up-to-date book that brings to light the newly added features in Ansible <em>2.x</em> Book Description This book provides you with the knowledge you need to understand how Ansible 2.1 works at a fundamental level and leverage its advanced capabilities. You'll learn how to encrypt Ansible content at rest and decrypt data at runtime. You will master the advanced features and capabilities required to tackle the complex automation challenges of today and beyond. You will gain detailed knowledge of Ansible workflows, explore use cases for advanced features, craft well thought out orchestrations, troubleshoot unexpected behaviour, and extend Ansible through customizations. Finally, you will discover the methods used to examine and debug Ansible operations, helping you to understand and resolve issues. By the end of the book, the readers will be able to unlock the true power of the Ansible automation engine and will tackle complex real world actions with ease. What you will learn Gain an in-depth understanding of how Ansible works under the covers Fully automate the Ansible playbook executions with encrypted data Access and manipulate variable data within playbooks Use Blocks to construct failure recovery or cleanup Explore the Playbook debugger and Ansible Console Troubleshoot unexpected behavior effectively Work with cloud infrastructure providers and container systems Develop custom modules, plugins, and dynamic inventory sources About the Author Jesse Keating is an accomplished Ansible user, contributor, and presenter. He has been an active member of the Linux and open source community for over fifteen years. He has first-hand experience with a variety of IT activities, software development, and large-scale system administration. He has presented at numerous conferences and meet-ups, and has written many articles on a variety of topics. Table of Contents System Architecture and Design of Ansible Protecting Your Secrets with Ansible Unlocking the Power of Jinja2 Templates Controlling Task Conditions Composing Reusable Ansible Content with Roles Minimizing Downtime with Rolling Deployments Troubleshooting Ansible Extending Ansible Infrastructure Provisioning
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无水印,数字版,有目录。 Mastering OpenStack - Second Edition: Design, deploy, and manage clouds in mid to large IT infrastructures Paperback – April 26, 2017 Discover your complete guide to designing, deploying, and managing OpenStack-based clouds in mid-to-large IT infrastructures with best practices, expert understanding, and more About This Book Design and deploy an OpenStack-based cloud in your mid-to-large IT infrastructure using automation tools and best practices Keep yourself up-to-date with valuable insights into OpenStack components and new services in the latest OpenStack release Discover how the new features in the latest OpenStack release can help your enterprise and infrastructure Who This Book Is For This book is for system administrators, cloud engineers, and system architects who would like to deploy an OpenStack-based cloud in a mid-to-large IT infrastructure. This book requires a moderate level of system administration and familiarity with cloud concepts. What You Will Learn Explore the main architecture design of OpenStack components and core-by-core services, and how they work together Design different high availability scenarios and plan for a no-single-point-of-failure environment Set up a multinode environment in production using orchestration tools Boost OpenStack's performance with advanced configuration Delve into various hypervisors and container technology supported by OpenStack Get familiar with deployment methods and discover use cases in a real production environment Adopt the DevOps style of automation while deploying and operating in an OpenStack environment Monitor the cloud infrastructure and make decisions on maintenance and performance improvement
How to Design Programs, Second Edition
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Get up-to-date with the finer points of Ubuntu Server using this comprehensive guide Key Features A practical easy-to-understand book that will teach you how to deploy, maintain and troubleshoot Ubuntu Server Get well-versed with newly-added features in Ubuntu 18.04. Learn to manage cutting-edge technologies such as virtualization, containers, Nextcloud and more Book Description Ubuntu Server has taken the data centers by storm. Whether you're deploying Ubuntu for a large-scale project or for a small office, it is a stable, customizable, and powerful Linux distribution that leads the way with innovative and cutting-edge features. For both simple and complex server deployments, Ubuntu's flexible nature can be easily adapted to meet to the needs of your organization. With this book as your guide, you will learn all about Ubuntu Server, from initial deployment to creating production-ready resources for your network. The book begins with the concept of user management, group management, and filesystem permissions. Continuing into managing storage volumes, you will learn how to format storage devices, utilize logical volume management, and monitor disk usage. Later, you will learn how to virtualize hosts and applications, which will cover setting up KVM/QEMU, as well as containerization with both Docker and LXD. As the book continues, you will learn how to automate configuration with Ansible, as well as take a look at writing scripts. Lastly, you will explore best practices and troubleshooting techniques when working with Ubuntu Server that are applicable to real-world scenarios. By the end of the book, you will be an expert Ubuntu Server administrator who is well-versed in its advanced concepts. What you will learn Manage users, groups, and permissions Encrypt and decrypt disks with Linux Unified Key Setup (LUKS) Set up SSH for remote access, and connect it to other nodes Add, remove, and search for packages Use NFS and Samba to share directories with other users Get to know techniques for managing Apache and MariaDB Explore best practices and troubleshooting techniques Get familiar with scripting Automate server deployments with Ansible Who This Book Is For This book is intended for readers with intermediate or advanced-beginner skills with Linux, who would like to learn all about setting up servers with Ubuntu Server. This book assumes that the reader knows the basics of Linux, such as editing configuration files and running basic commands. Table of Contents Deploying Ubuntu Server Managing users Managing Storage Volumes Connecting to Networks Managing Software Packages Controlling and monitoring processes Setting Up Network Services Sharing and Transferring Files Managing Databases Serving Web Content Learning Advanced Shell Techniques Virtualization Running Containers Automating Server Configuration with Ansible Securing your Server Troubleshooting Ubuntu Servers Preventing and recovering from disasters Appendix Assessments
Matrix Mathematics - Theory, Facts, and Formulas, Second Edition
关于矩阵的一本书籍,非常有用,英文版的。。。。。。。。
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推荐系统手册第二版: The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments. Recommender Systems Handbook, an edited volume, is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems' major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included. Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT&T. This handbook is suitable for researchers and advanced-level students in computer science as a reference.
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我们是很有底线的