Tag: statistics

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. A Practical Implementation Guide to Predictive Data Analytics Using Python Covers basic to advanced topics in an easy step-oriented manner Concise on theory, strong focus on practical and hands-on approach Explores advanced topics, such as Hyper-parameter tuning, deep natural language processing, neural network and deep learning Describes state-of-art best practices for model tuning for better model accuracy About The Book: This book is your practical guide towards novice to master in machine learning with Python in six steps. The six steps path has been designed based on the “Six ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Today, we are excited to announce a new Power BI solution template - the Campaign/Brand Management template for Facebook! This solution template adds to the growing library of social analytics solution templates including the Campaign/Brand Management for Twitter and Advanced Search for Bing News solution templates. Powerful Yet Easy to Use This latest solution template provides powerful yet easy to understand analytics on any Facebook page. After defining one or many Facebook Pages to follow, you can quickly navigate posts and comments, identify key trends, understand user sentiment, and ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: John Kreisa. This post was contributed by Jonathan Seidman from Orbitz. Jonathan is a Lead Engineer on the Intelligent Marketplace/Machine Learning team at Orbitz Worldwide . You can hear more from Jonathan at Hadoop World October 12th in NYC. Orbitz Worldwide (NYSE:OWW) is composed of a global portfolio of online consumer travel brands including Orbitz, Cheaptickets, The Away Network, ebookers and HotelClub, Additionally, the company operates business-to-business service: Orbitz Worldwide Distribution provides third parties such as Amtrak, Delta, LAN, KLM, Air France and a number of other leading airlines hotel booking capabilities, and Orbitz for ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . Latches can be confusing. Sessions can wait for them and when those waits become excessive performance degrades. To many they appear to be the same as locks, but they aren't, even though lock waits, when the times get excessive, can also degrade performance. So, what are the differences between latches and locks? Let's examine both and see where they differ, what can cause latch waits and how latch waits can be investigated. Latches are similar to locks but they operate on memory to protect code and internal data structures by preventing concurrent ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: Alex Loddengaard. Apache Hadoop’s jobtracker, namenode, secondary namenode, datanode, and tasktracker all generate logs. That includes logs from each of the daemons under normal operation, as well as configuration logs, statistics, standard error, standard out, and internal diagnostic information. Many  users aren’t entirely sure what the differences are among these logs, how to analyze them, or even how to handle simple administrative tasks like log rotation.  This blog post describes each category of log, and then details where they can be found for each Hadoop component. The log categories are: Hadoop Daemon Logs ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: Amr Awadallah. At Cloudera, we frequently work with leading Hadoop developers to produce guest blog posts of general interest to the community. We started a project with Pete Skomoroch a while back, and we were so impressed with his work, we’ve decided to bring Pete on as a regular guest blogger. Pete can show you how to do some pretty amazing things with Hadoop, Pig and Hive and has a particular bias towards Amazon EC2. With that, I’m happy to welcome Pete to the blog, and hope you enjoy his first post as much ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: Christophe Bisciglia. An important part of making sure Apache Hadoop works well for all users is developing and maintaining strong relationships with the folks who run Hadoop day in and day out. Edward Capriolo keeps About.com’s Hadoop cluster happy, and we frequently chew the fat with Ed on issues ranging from administrative best practices to monitoring. Ed’s been an invaluable resource as we beta test our distribution and chase down bugs before our official releases. Today’s article looks at some of Ed’s tricks for monitoring Hadoop with Cacti through JMX. -Christophe You may ... Read More

Feed: Planet big data. Author: David Smith. R is incredible software for statistics and data science. But while the bits and bytes of software are an essential component of its usefulness, software needs a community to be successful. And that's an area where R really shines, as Shannon Ellis explains in this lovely ROpenSci blog post. For software, a thriving community offers developers, expertise, collaborators, writers and documentation, testers, agitators (to keep the community and software on track!), and so much more. Shannon provides links where you can find all of this in the R community: #rstats hashtag — a responsive, ... Read More

Feed: Planet big data. Author: 9Clouds. At BrightPlanet, data harvesting is our specialty. But data harvesting is anything but simple. That’s where proxy servers come in. We have an anonymous proxy server and a TOR proxy cluster that we leverage for most of our harvesting. Friendly Crawling: A Harvesting Necessity Today many servers will automatically block crawlers (like ours) based on simple activities. Our proxy server provides a buffer for our harvest engine, allowing it to do its job unhindered. This proxy allows us to extend our collection ability while remaining a friendly crawler. We do not use our proxy ... Read More

Feed: Planet MySQL. Author: Wagner Bianchi. Most of the time when you start a database design you don’t imagine how your applications need to scale. Sometimes, you need to shard your databases among some different hosts and then, on each shard you want to split reads and writes between master and slaves. This blog is about MariaDB MaxScale being able to handle different databases across shards, and splitting up reads and writes into each of the shards to achieve the maximum level of horizontal scalability with MariaDB Server. After reading this blog you will be able to: Know how MariaDB ... Read More