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SEMI E20 - CLUSTER TOOL MODULE INTERFACE: ELECTRICAL POWER AND EMERGENCY OFF STANDARD Organization: SEMI
PACKT - LEARNING OPENSTACK HIGH A - LEARNING OPENSTACK HIGH AVAILABILITY Organization: PACKT
Date: 2015-12-03
Description: Build a resilient and scalable OpenStack cloud, using advanced open source tools About This Book • Leverage the power of OpenStack to achieve high availability • Get to grips with concepts such as Galeria Cluster for Glance and Cinder, MariaDB, and validation • Using clustering and high-availability solutions, this book provides a comprehensive plan for you to connect them with Red Hat Enterprise Linux OpenStack Platform Who This Book Is For This book is for OpenStack administrator, cloud administrator, cloud engineer, or cloud developer with some real time understanding of cloud computing, OpenStack and familiarity with Linux command is essential to start with this book.
PACKT - POSTGRESQL HIGH AVAILABIL - POSTGRESQL HIGH AVAILABILITY COOKBOOK - SECOND EDITION Organization: PACKT
Date: 2017-02-08
Description: Master over 100 recipes to design and implement a highly available server with the advanced features of PostgreSQL About This Book • Create a PostgreSQL cluster that stays online even when disaster strikes • Avoid costly downtime and data loss that can ruin your business • Updated to include the newest features introduced in PostgreSQL 9.6 with hands-on industry-driven recipes Who This Book Is For If you are a PostgreSQL DBA working on Linux systems who want a database that never gives up, this book is for you.
CRC - CE5289 - CORRESPONDENCE ANALYSIS AND DATA CODING WITH JAVA AND R Organization: CRC
Date: 2005-05-26
Description: The focus then shifts to data coding, with a survey of the widely varied possibilities correspondence analysis offers and introduction of the Java software for correspondence analysis, clustering, and interpretation tools. A chapter of case studies follows, wherein the author explores applications to areas such as shape analysis and time-evolving data.
PACKT - VMWARE VSPHERE TROUBLESHO - VMWARE VSPHERE TROUBLESHOOTING Organization: PACKT
Date: 2015-11-02
Description: Gain expertise in troubleshooting most common issues to implement vSphere environments with ease About This Book • Plan, analyze, and design effective solutions for your vSphere environment • Troubleshoot problems related to vSphere performance • Familiarize yourself with the advanced troubleshooting conceptsand become an xpert level administrator Who This Book Is For The books is intended for mid-level System Engineers and System Integrators who want to learn VMware power tools to troubleshoot and manage the vSphere infrastructure.
PACKT - MASTERING JBOSS ENTERPRIS - MASTERING JBOSS ENTERPRISE APPLICATION PLATFORM 7 Organization: PACKT
Date: 2016-08-31
Description: What You Will Learn • Configure services using the Command Line Interface • Deliver fault tolerant server configurations • Harden the application server with advanced techniques • Expand the application server's horizon with tools such as like Docker/OpenShift • Create enterprise ready configurations using clustering techniques. • Deliver advanced security solutions and learn how to troubleshoot common network/performance issues In Detail The JBoss Enterprise Application Platform (EAP) has been one of the most popular tools for Java developers to create modular, cloud-ready, and modern applications.
PACKT - MATLAB FOR MACHINE LEARNI - MATLAB FOR MACHINE LEARNING Organization: PACKT
Date: 2017-08-28
Description: • Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures.
CRC - KE16705 - INTRUSION DETECTION IN WIRELESS AD-HOC NETWORKS Organization: CRC
Date: 2014-02-06
Description: It includes case studies on honesty-based intrusion detection systems, cluster oriented-based intrusion detection systems, and trust-based intrusion detection systems.
PACKT - MASTERING MACHINE LEARNIN - MASTERING MACHINE LEARNING WITH SPARK 2.X Organization: PACKT
Date: 2017-08-31
Description: We assume that you already know the machine learning concepts and algorithms and have Spark up and running (whether on a cluster or locally) and have a basic knowledge of the various libraries contained in Spark.
PACKT - WORKING WITH LINUX - QUIC - WORKING WITH LINUX – QUICK HACKS FOR THE COMMAND LINE Organization: PACKT
Date: 2017-05-30
Description: What You Will Learn • Optimize the power of Guake by integrating it with ClipIt • Deep dive into the workings of the console editor—Vim • Explore the advanced concepts and best practices of shell scripting • Edit large amounts of data quickly using Sed • Use pipes and subshells to create customized commands • Get to know how you can speed up the software development and make the terminal a handy companion In Detail Websites, online services, databases, and pretty much every other computer that offers public services runs on Linux. From small servers to clusters, Linux is anywhere and everywhere. With such a broad usage, the demand for Linux specialists is ever growing.
PACKT - MASTERING HIBERNATE - MASTERING HIBERNATE Organization: PACKT
Date: 2016-05-16
Description: Learn how to correctly utilize the most popular Object-Relational Mapping tool for your Enterprise application About This Book • Understand the internals of Hibernate and its architecture, and how it manages Entities, Events, Versioning, Filters, and Cache • Observe how Hibernate bridges the gap between object-oriented concepts and relational models • Discover how Hibernate can address architectural concerns such as Transaction, Database Multi-tenancy, Clustering, and Database Shards Who This Book Is For Mastering Hibernate is intended for those who are already using or considering using Hibernate as the solution to address the problem of Object Relational Mapping.
PACKT - MACHINE LEARNING WITH SPA - MACHINE LEARNING WITH SPARK - SECOND EDITION Organization: PACKT
Date: 2017-04-28
Description: You will start by installing Spark in a single and multinode cluster. Next you'll see how to execute Scala and Python based programs for Spark ML.
PACKT - PRACTICAL DATA ANALYSIS C - PRACTICAL DATA ANALYSIS COOKBOOK Organization: PACKT
Date: 2016-04-29
Description: What You Will Learn  • Read, clean, transform, and store your data usng Pandas and OpenRefine • Understand your data and explore the relationships between variables using Pandas and D3.js • Explore a variety of techniques to classify and cluster outbound marketing campaign calls data of a bank using Pandas, mlpy, NumPy, and Statsmodels • Reduce the dimensionality of your dataset and extract the most important features with pandas, NumPy, and mlpy • Predict the output of a power plant with regression models and forecast water flow of American rivers with time series methods using pandas, NumPy, Statsmodels, and scikit-learn • Explore social interactions and identify fraudulent activities with graph theory concepts using NetworkX and Gephi • Scrape Internet web pages using urlib and BeautifulSoup and get to know natural language processing techniques to classify movies ratings using NLTK • Study simulation techniques in an example of a gas station with agent-based modeling In Detail Data analysis is the process of systematically applying statistical and logical techniques to describe and illustrate, condense and recap, and evaluate data.
PACKT - MACHINE LEARNING FOR DEVE - MACHINE LEARNING FOR DEVELOPERS Organization: PACKT
Date: 2017-10-26
Description: The book will introduce you to various libraries and frameworks used in the world of Machine Learning, and then, without wasting any time, you will get to the point and implement Regression, Clustering, classification, Neural networks, and more with fun examples.
PACKT - MASTERING PRDICTIVE ANALY - MASTERING PREDICTIVE ANALYTICS WITH PYTHON Organization: PACKT
Date: 2016-08-31
Description: What You Will Learn • Gain an insight into components and design decisions for an analytical application • Master the use Python notebooks for exploratory data analysis and rapid prototyping • Get to grips with applying regression, classification, clustering, and deep learning algorithms • Discover the advanced methods to analyze structured and unstructured data • Find out how to deploy a machine learning model in a production environment • Visualize the performance of models and the insights they produce • Scale your solutions as your data grows using Python • Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis In Detail The volume, diversity, and speed of data available has never been greater.
PACKT - ADVANCED ANALYTICS WITH R - ADVANCED ANALYTICS WITH R AND TABLEAU Organization: PACKT
Date: 2017-08-22
Description: • Make quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions.
PACKT - ELASTICSEARCH FOR HADOOP - ELASTICSEARCH FOR HADOOP Organization: PACKT
Date: 2015-10-27
Description: You will have “Go production checklist” and high-level view for cluster administration for post-production. Towards the end, you will learn to integrate Elasticsearch with other Hadoop eco-system tools, such as Pig, Hive and Spark.
PACKT - OPENGL DATA VISUALIZATION - OPENGL DATA VISUALIZATION COOKBOOK Organization: PACKT
Date: 2015-08-24
Description: From a mobile device to a sophisticated high-performance computing cluster, OpenGL libraries provide developers with an easy-to-use interface to create stunning visuals in 3D in real time for a wide range of interactive applications.
PACKT - SCALA:APPLIED MACHINE LEA - SCALA:APPLIED MACHINE LEARNING Organization: PACKT
Date: 2017-02-23
Description: What You Will Learn • Create Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizations • Deploy scalable parallel applications using Apache Spark, loading data from HDFS or Hive • Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters • Apply key learning strategies to perform technical analysis of financial markets • Understand the principles of supervised and unsupervised learning in machine learning • Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet • Construct reliable and robust data pipelines and manage data in a data-driven enterprise • Implement scalable model monitoring and alerts with Scala In Detail This Learning Path aims to put the entire world of machine learning with Scala in front of you.
PACKT - PYTHON MACHINE LEARNING - PYTHON MACHINE LEARNING - SECOND EDITION Organization: PACKT
Date: 2017-09-20
Description: What You Will Learn • Understand the key frameworks in data science, machine learning, and deep learning • Harness the power of the latest Python open source libraries in machine learning • Explore machine learning techniques using challenging real-world data • Master deep neural network implementation using the TensorFlow library • Learn the mechanics of classification algorithms to implement the best tool for the job • Predict continuous target outcomes using regression analysis • Uncover hidden patterns and structures in data with clustering • Delve deeper into textual and social media data using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning.

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