In this article, Md. Rezaul Karim and Md. Mahedi Kaysar , the authors of the book Large Scale Machine Learning with Spark discusses how to develop a large scale heart diseases prediction pipeline by considering steps like taking input, parsing, making label point for regression, model training, model saving and finally predictive analytics using the trained model using Spark 2.0.0. In this article, they will develop a large-scale machine learning application using several classifiers like the random forest, decision tree, and linear regression classifier. To make this happen the following steps will be covered: Data collection and exploration Loading required packages and APIs Creating an active Spark session Data parsing and RDD of Label point creation Splitting the RDD of label point into training and test set Training the model Model saving for future use Predictive analysis using the test set Predictive analytics using the new dataset Performance comparison among different classifier
In this article by Sean McCord author of the book CoreOS Cookbook , we will explore some of the options available to help bridge the configuration divide with the following topics: Configuring by URL Translating etcd to configuration files Building EnvironmentFiles Building an active configuration manager Using fleet globals
In this article by Josh Diakun , Paul R Johnson , and Derek Mock authors of the books Splunk Operational Intelligence Cookbook - Second Edition , we will cover the basic ways to search the data in Splunk. We will cover how to make raw event data readable
In this article by Steven Armstrong , author of the book DevOps for Networking , we will focus on people and process with regards to DevOps. The DevOps initiative was initially about breaking down silos between development and operations teams and changing company's operational models. It will highlight methods to unblock IT staff and allow them to work in a more productive fashion, but these mindsets have since been extended to quality assurance testing, security, and now network operations. This article will primarily focus on the evolving role of the network engineer, which is changing like the operations engineer before them, and the need for network engineers to learn new skills that will allow network engineers to remain as valuable as they are today as the industry moves towards a completely programmatically controlled operational model.
In this article by Ian Grieve and Mark Polino , authors of the book, Microsoft Dynamics GP 2016 Cookbook , we will see few features of Dynamics GP. Dynamics GP provides a number of features to better organize the overall system and improve its usefulness for all users; these recipes are designed for the use of administrators rather than typical users. This article is designed to demonstrate how to implement and fine-tune these features to provide the most benefit. In this article, we will look at the following topics: Speeding account entry with account aliases Cleaning account lookups by removing accounts from lookups Streamlining payables processing by prioritizing vendors Getting clarity with user-defined fields
In this article, Jon Hoffman , the author of the book Mastering Swift 3 , talks about how he was really excited when Apple announced that they were going to release a version of Swift for Linux, so he could use Swift for his Linux and embedded development as well as his Mac OS and iOS development. When Apple first released Swift 2.2 for Linux, he was very excited but was also a little disappointed because he could not read/write files, access network services, or use Grand Central Dispatch (GCD or libdispatch) on Linux like he could on Apple's platforms. With the release of Swift 3, Apple has corrected this with the release of Swift's core libraries.
In this article by Vladimir Vivien author of the book Learning Go programming explains some basic control flow of Go programming language. Go borrows several of the control flow syntax from its C-family of languages. It supports all of the expected control structures including if-else , switch , for-loop , and even goto . Conspicuously absent though are while or do-while statements. The following topics examine Go's control flow elements. Some of which you may already be familiar and others that bring new set of functionalities not found in other languages. The if statement The switch statement The type Switch (For more resources related to this topic, see here .)
In this article by Makoto Hashimoto and Nicolas Modrzyk , the authors of the book Clojure Programming Cookbook , we will cover the recipe Clojure on Amazon Web Services .
In this article by Gregory Boyce , author Linux Networking Cookbook , we will focus on getting you started by Configuring Samba as an Active Directory compatible directory service and Joining a Linux box to the domain.
Data analysis is a combination of art and science. The art part consists of data exploration and visualization, which is usually done best with better intuition and understanding of the data. The science part consists of statistical analysis, which relies on concrete knowledge of statistics and analytic skills. However, both parts of a serious research require proper tools and good skills to work with them. R is exactly the proper tool to do data analysis with. In this article by Kun Ren , author of the book Learning R Programming , we will discuss how R and data.table package make it easy to transform data and, thus, greatly unleash our productivity.
In this article by Jonathan Bownds and Bret Williams , authors of the book, Mastering Magento 2, Second Edition , we will learn the following topics: How to form a plan for your Magento installation How to analyze and research your hosting alternatives How Magento's powerful Global-Website-Store methodology gives you tremendous power to run more than one website in a single installation How to plan for multiple languages, business entities, and domains