Find the standard you are looking for at Engineering360. Documents are available for purchase from the IHS Standards Store.

1 - 20 of 30 results

PACKT - APACHE MAHOUT CLUSTERING - APACHE MAHOUT CLUSTERING DESIGNS Organization: PACKT
Date: 2015-10-08
Description: It will be helpful if you know about clustering techniques with some other tool. What You Will Learn • Explore clustering algorithms and cluster evaluation techniques • Learn different types of clustering and distance measuring techniques • Perform clustering on your data using K-Means clustering • Discover how canopy clustering is used as pre-process step for K-Means • Use the Fuzzy K-Means algorithm in Apache Mahout • Implement Streaming K-Means clustering in Mahout • Learn Spectral K-Means clustering implementation of Mahout In Detail As more and more organizations are discovering the use of big data analytics, interest in platforms that provide storage, computation, and analytic capabilities has increased.
PACKT - PRACTICAL MACHINE LEARN - PRACTICAL MACHINE LEARNING Organization: PACKT
Date: 2016-01-30
Description: Tackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniques About This Book  • Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark • Comprehensive practical solutions taking you into the future of machine learning • Go a step further and integrate your machine learning projects with Hadoop Who This Book Is For This book has been created for data scientists who want to see machine learning in action and explore its real-world application.
PACKT - MACHINE LEARNING IN JAVA - MACHINE LEARNING IN JAVA Organization: PACKT
Date: 2016-04-29
Description: The main challenge is how to transform data into actionable knowledge. Machine Learning in Java will provide you with the techniques and tools you need to quickly gain insight from complex data.
PACKT - MACHINE LEARNING FOR THE - MACHINE LEARNING FOR THE WEB Organization: PACKT
Date: 2016-07-29
Description: What You Will Learn • Get familiar with the fundamental concepts and some of the jargons used in the machine learning community • Use tools and techniques to mine data from websites • Grasp the core concepts of Django framework • Get to know the most useful clustering and classification techniques and implement them in Python • Acquire all the necessary knowledge to build a web application with Django • Successfully build and deploy a movie recommendation system application using the Django framework in Python In Detail Python is a general purpose and also a comparatively easy to learn programming language.
PACKT - LARGE SCALE MACHINE LRNG - LARGE SCALE MACHINE LEARNING WITH PYTHON Organization: PACKT
Date: 2016-08-03
Description: Style and approach This efficient and practical title is stuffed full of the techniques, tips and tools you need to ensure your large scale Python machine learning runs swiftly and seamlessly.
PACKT - BUILDING MACHINE LEARNING - BUILDING MACHINE LEARNING PROJECTS WITH TENSORFLOW Organization: PACKT
Date: 2016-11-24
Description: Finally, we’ll move into the world of machine learning – this introduces you to data classification, regression, clustering, association rule mining, and dimension reduction.
PACKT - R: RECIPES FOR ANALYSIS, - R: RECIPES FOR ANALYSIS, VISUALIZATION AND MACHINE LEARNING Organization: PACKT
Date: 2016-11-24
Description: Finally, we’ll move into the world of machine learning – this introduces you to data classification, regression, clustering, association rule mining, and dimension reduction.
PACKT - PYTHON MACHINE LEARN BLUE - PYTHON MACHINE LEARNING BLUEPRINTS: INTUITIVE DATA PROJECTS YOU CAN RELATE TO Organization: PACKT
Date: 2016-07-29
Description: How confident are you interacting with the tools and models that drive it? Python Machine Learning Blueprints puts your skills and knowledge to the test, guiding you through the development of some awesome machine learning applications and algorithms with real-world examples that demonstrate how to put concepts into practice.
PACKT - MASTERING MESOS - MASTERING MESOS Organization: PACKT
Date: 2016-05-26
Description: The ultimate guide to managing, building, and deploying large-scale clusters with Apache Mesos About This Book • Master the architecture of Mesos and intelligently distribute your task across clusters of machines • Explore a wide rnge of tools and platforms that Mesos works with • This real-world comprehensive and robust tutorial will help you become an expert Who This Book Is For The book aims to serve DevOps engineers and system administrators who are familiar with the basics of managing a Linux system and its tools What You Will Learn • Understand the Mesos architecture • Manually spin up a Mesos cluster on a distributed infrastructure • Deploy a multi-node Mesos cluster using your favorite DevOps • See the nuts and bolts of scheduling, service discovery, failure handling, security, monitoring, and debugging in an enterprise-grade, production cluster deployment • Use Mesos to deploy big data frameworks, containerized applications, or even custom build your own applications effortlessly In Detail Apache Mesos is open source cluster management software that provides efficient resource isolations and resource sharing distributed applications or frameworks.
PACKT - DOCKER ORCHESTRATION - DOCKER ORCHESTRATION Organization: PACKT
Date: 2017-01-24
Description: What You Will Learn • Build scalable, reliable services with Docker • See how to manage a service in Docker using Docker Swarm, Kubernetes, and Mesosphere • Discover simpler orchestration tools such as CoreOS/Fleet and Rancher Cattle • Understand cluster-wide logging, system monitoring, and troubleshooting • Build, test, and deploy containers using Continuous Integration • Deploy cluster hosts on cloud services and automate your infrastructure In Detail Docker orchestration is what you need when transitioning from deploying containers individually on a single host to deploying complex multi-container apps on many machines.
PACKT - BIG DATA ANALYTICS - BIG DATA ANALYTICS Organization: PACKT
Date: 2016-09-28
Description: What You Will Learn • Find out and implement the tools and techniques of big data analytics using Spark on Hadoop clusters with wide variety of tools used with Spark and Hadoop • Understand all the Hadoop and Spark ecosystem components • Get to know all the Spark components: Spark Core, Spark SQL, DataFrames, DataSets, Conventional and Structured Streaming, MLLib, ML Pipelines and Graphx • See batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming • Get to grips with data science and machine learning using MLLib, ML Pipelines, H2O, Hivemall, Graphx, SparkR and Hivemall.
PACKT - SCALA DATA ANALYSIS COOKB - SCALA DATA ANALYSIS COOKBOOK Organization: PACKT
Date: 2015-10-30
Description: What You Will Learn • Familiarize and set up the Breeze and Spark libraries and use data structures • Import data from a host of possible sources and create dataframes from CSV • Clean, validate and transform data using Scala to pre-process numerical and string data • Integrate quintessential machine learning algorithms using Scala stack • Bundle and scale up Spark jobs by deploying them into a variety of cluster managers • Run streaming and graph analytics in Spark to visualize data, enabling exploratory analysis In Detail This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data.
PACKT - PRACTICAL DATA ANALYSIS - PRACTICAL DATA ANALYSIS - SECOND EDITION Organization: PACKT
Date: 2016-09-30
Description: A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book • Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data • Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images • A hands-on guide to understanding the nature of data and how to turn it into insight Who This Book Is For This book is for developers who want to implement data analysis and data-driven algorithms in a practical way.
PACKT - MASTERING PYTHON DATA ANA - MASTERING PYTHON DATA ANALYSIS Organization: PACKT
Date: 2016-06-27
Description: After that, we’ll focus on performing regression using computational tools and you’ll get to understand the problem of identifying clusters in data in an algorithmic way.
PACKT - VMWARE VSPHERE TROUBLESHO - VMWARE VSPHERE TROUBLESHOOTING Organization: PACKT
Date: 2015-11-02
Description: You will be able to use the troubleshooting tools to monitor performance, and troubleshoot issues related to Hosts and Virtual Machines. Moving on, you will troubleshoot High Availability, storage I/O control problems, virtual LANS, and iSCSI, NFS, VMFS issues.
PACKT - UNSUPERVISED LEARNING WIT - UNSUPERVISED LEARNING WITH R Organization: PACKT
Date: 2015-12-03
Description: What You Will Learn  • Load, manipulate, and explore your data in R using techniques for exploratory data analysis such as summarization, manipulation, correlation, and data visualization • Transform your data by using approaches such as scaling, re-centering, scale [0-1], median/MAD, natural log, and imputation data • Build and interpret clustering models using K-Means algorithms in R • Build and interpret clustering models by Hierarchical Clustering Algorithm’s in R • Understand and apply dimensionality reduction techniques • Create and use learning association rules models, such as recommendation algorithms • Use and learn about the techniques of feature selection • Install and use end-user tools as an alternative to programming directly in the R console  In Detail The R Project for Statistical Computing provides an excellent platform to tackle data processing, data manipulation, modeling, and presentation.
PACKT - MASTERING COREOS - MASTERING COREOS Organization: PACKT
Date: 2016-02-26
Description: What You Will Learn  • Install CoreOS on a VM, on the Cloud, and bare metal, and find out how to keep your cluster secure and up to date • Configure and troubleshoot key CoreOS services, such as etcd, systemd, and fleet, for distributed application deployment • Study container networking using CoreOS Flannel and other solutions, such as Docker libnetwork, Weave, and Calico • Explore the container filesystem and container volume management using Docker volume, NFS, GlusterFS, and Flocker • Get to know the internals of container technologies such as Docker, Rkt, and Container orchestration using Openstack, Kubernetes and Docker native solutions • Troubleshoot CoreOS cluster and Containers using monitoring and logging tools and master production techniques such as staging, security, and automation In Detail  CoreOS makes Google and Amazon-style Cloud infrastructure available for anyone building their own private Cloud.
PACKT - MASTERING APACHE SPARK - MASTERING APACHE SPARK Organization: PACKT
Date: 2015-09-30
Description: What You Will Learn Extend the tools available for processing and storage Examine clustering and classification using MLlib Discover Spark stream processing via Flume, HDFS Create a schema in Spark SQL, and learn how a Spark schema can be populated with data Study Spark based graph processing using Spark GraphX Combine Spark with H20 and deep learning and learn why it is useful Evaluate how graph storage works with Apache Spark, Titan, HBase and Cassandra Use Apache Spark in the cloud with Databricks and AWS In Detail Apache Spark is an in-memory cluster based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and SQL.
PACKT - BIG DATA ANALYTICS WITH R - BIG DATA ANALYTICS WITH R Organization: PACKT
Date: 2016-07-29
Description: It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.
PACKT - HADOOP REAL-WORLD SOLUTIO - HADOOP REAL-WORLD SOLUTIONS COOKBOOK - SECOND EDITION Organization: PACKT
Date: 2016-03-31
Description: What You Will Learn • Installing and maintaining Hadoop 2.X cluster and its ecosystem. • Write advanced Map Reduce programs and understand design patterns.

1 - 20 of 30 results