Tag: value

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. There, I said it.  I said the “R” word.  And no, I’m not talking the political “R” word.  I’m talking about the potential of a… r-e-c-e-s-s-i-o-n.  There are many indicators pointing to the potential of a worldwide recession, and unfortunately during a recession, many organizations hunker down, cut spending, and try to ride it out – all the wrong things to do if you want to actually avoid a recession. Figure 1: “What Is a Recession? Examples, Impact, Benefits” However, leading organizations see a recession as an opportunity to ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. Introduction In this article, we want to highlight some key data science use cases in marketing. As far as the key aim of data science is to turn data into actionable insights the marketing sphere cannot skip the application of these insights for its benefit. Big data in marketing provides an opportunity to understand the target audiences much better.   Data science is mostly applied in marketing areas of profiling, search engine optimization, customer engagement, responsiveness, real-time marketing campaigns. Moreover, new ways to apply data science and analytics in marketing ... Read More

Feed: SAS Blogs. Author: Federica Ballerini. Nothing works without connectivity. Much of human and all of machine communications and digital media would cease to exist without it. As connectivity reaches new, limitless and more intelligent forms with 5G, virtualized and open networks, the need for limitless intelligent decisioning grows. The uses include planning, running and exploiting current and future connectivity; optimizing customer journeys; combating fraud; and keeping connections safe from fraud or cyberattacks. Millions of intelligent decisions need to be taken across domains and silos in a split second to unleash the value of intelligent connectivity. And analytics, AI and ... Read More

Feed: Cambridge Intelligence. Author: Matt Michel. React is one of JavaScript’s most popular libraries. Developers love how its simplicity and scalability makes it faster to write and debug code.One particularly powerful feature of React is Hooks. In this post, Matt Michel from our development team shares one of the ways he uses Hooks to produce powerful, reusable functionality in ReGraph – our graph visualization toolkit for React.Why use Hooks?If you’re staying up-to-speed with the React release cycle then you’re most likely using Hooks. I’ve grown to like Hooks, especially as they reduce the boilerplate associated with class-based components.Before React 16.8, ... Read More

Feed: R-bloggers. Author: Roman Pahl. Notation and naming File names File names end in .R and are meaningful about their content: Good: string-algorithms.R utility-functions.R Bad: foo.R foo.Rcode stuff.R Function names Preferrably function names consist of lowercase words separated by an underscore. Using dot (.) separator is avoided as this confuses with the use of generic (S3) functions. It also prevents name clashes with existing functions from the standard R packages. Camel-case style is also suitable especially for predicate functions returning a boolean value. Function names ideally start with verbs and describe what the function does. # GOOD create_summary() calculate_avg_clicks() find_string() ... Read More

Feed: R-bloggers. Author: mrtnj. Since version 1.0.0, released in September, the tidyr package has a new replacement for the gather/spread pair of functions, called pivot_longer/pivot_wider. (See the blog post about the release. It can do a lot of cool things.) Just what we needed, another pair of names for melt/cast, right? Yes, I feel like this might just be what we need! My journey started with reshape2, and after a bit of confusion, I internalised the logic of melt/cast. Look at this beauty: library(reshape2) fake_data This turns a data frame that looks like this … id variable1 variable2 1 1 ... Read More

Feed: MemSQL Blog. Author: Floyd Smith. How does a major technology services company equip itself to compete in the digital age – and provide services so outstanding that they can significantly advance the business prospects of their customers? All while reducing complexity, cutting costs, and tightening SLAs – in some cases, by 10x or more? For one such company, the solution is to deliver real-time, operational analytics with Kafka and MemSQL. In this company, data flowed through several data stores, and from a relational, SQL database, into NoSQL data stores for batch query processing, and back into SQL for BI, ... Read More

Feed: AWS Compute Blog. Author: Rachel Richardson. This post is courtesy of Otavio Ferreira, Sr Manager, SNS.In a postal system, a dead-letter office is a facility for processing undeliverable mail. In pub/sub messaging, a dead-letter queue (DLQ) is a queue to which messages published to a topic can be sent, in case those messages cannot be delivered to a subscribed endpoint. Amazon SNS supports DLQs, making your applications more resilient and durable upon delivery failure modes. The delivery of a message fails when it’s not possible for Amazon SNS to access the subscribed endpoint. There are two reasons why this ... Read More

Feed: Planet MySQL; Author: Mikael Ronström; MySQL Cluster 8.0.18 RC2 was released a few weeks back packed with a set of new interesting things.One major change we have done is to increase the number of data nodes from 48 to 144. There is also ongoing work to fully support 3 and 4 replicas in MySQL Cluster 8.0. NDB has actually always been designed to handle up to 4 replicas. But the test focus have previously been completely focused on 2 replicas. Now we expanded our test focus to also verify that 3 and 4 replicas work well. This means that ... Read More

Feed: Liquid Web. Author: Todd Terwillegar; We’re the employees you would hire if you could. Responsive, helpful, and dedicated in ways automation simply can’t be. We’re your team. Each month we recognize one of our Most Helpful Humans in Hosting. Meet Wes Wes Mills is our amazing “mad” data scientist at Liquid Web in charge making the magic happen by curating and organizing the large amounts of data that comes into Liquid Web. In other words, he makes our customer experience better through data analysis and objective process changes. Wes is obsessed with the behaviors of people and how they ... Read More