Tag: fun

Feed: SAS Blogs. Author: David Pope. It's that time of year again where I get to blend together a holiday song with analytics. This is the eighth year running and the 11th song. For 2021, I decided to take on a more modern holiday song, Arianna Grande's Winter Things. Data Science Things SQL and reporting ain’t data science, not where I’m fromPrediction and forecasting takes analytics in order to shineSQL queries don’t get no love, basic visualization and reporting, not even a chanceBut AI in the cloud gonna let us do some data science things 28 Feb 2012 --- Cloud ... Read More

Feed: Planet PostgreSQL. I recently wrote an example of how you can project monthly recurring revenue (MRR) in Postgres. This is a helpful metric to understand how a subscription-based business is doing and can help inform all sorts of financial and operational decisions at the company ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. This article is part of a series about fun problems, offered with solutions. The previous one can be found here. This new problem falls in a category called stochastic geometry. We define a random triangle as a triangle inscribed in a circle of radius ρ, with its three vertices uniformly distributed on the circle. Without loss of generality, we can assume that the circle is centered at the origin, its radius is ρ = 1, and one vertex is located at (1, 0). The metric of interest here, does not depend ... Read More

Feed: Domo Blog. Author: Jace McLean.  / Olympics Data Fun with DDX Bricks Taking a look at DDX Bricks Back at Domopalooza, we announced a new product feature called DDX Bricks. We here at the Domo on Data blog love playing with new features and technologies, so we decided to give it a test and wanted to share the results with you. We started thinking of what we wanted to showcase, as there is so much that is possible with DDX Bricks, and we came back to our Olympics Tracker. We love the Olympics and wanted to check out how the ... Read More

Feed: Planet PostgreSQL. Data checksums are a great feature in PostgreSQL. They are used to detect any corruption of the data that Postgres stores on disk. Every system we develop at Crunchy Data has this feature enabled by default. It's not only Postgres itself that can make use of these checksums. Some third party tools such as the awesome pgBackRest program can also use them for enhanced data integrity.Sadly, enabling data checksums is still not the default behavior when creating a new Postgres cluster. When you invoke the initdb program, add the ‑‑data‑checksums flag (or ‑k if you prefer obscure arguments), and your shiny new Postgres cluster will have data ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. This is part of a series featuring the following aspects of machine learning: This issue focuses on cool math problems that come with data sets, source code, and algorithms. See previous article here. Many have a statistical, probabilistic or experimental flavor, and some are dealing with dynamical systems. They can be used to extend your math knowledge, practice your machine learning skills on original problems, or for curiosity. My articles, posted on Data Science Central, are always written in simple English and accessible to professionals with typically one year ... Read More

Feed: Planet PostgreSQL. PostgreSQL has a long history with cryptographic hashes, coming into three parts, roughly. First, MD5 authentication, that exists in PostgreSQL since 2001 in this commit. This feature has come up with its own implementation of this hash in either src/common/md5.c or src/backend/libpq/md5.c, depending on the branch of the code checked out. This is then used by libpq or the backend code. One thing to know is that this code gets used even when building PostgreSQL with OpenSSL, library that has its own APIs to be able to build MD5 hashes. The second piece of history is within ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. This is part of a series featuring the following aspects of machine learning: This issue focuses on cool math problems that come with data sets, source code, and algorithms. Many have a statistical, probabilistic or experimental flavor, and some are dealing with dynamical systems. They can be used to extend your math knowledge, practice your machine learning skills on original problems, or for curiosity. My articles, posted on Data Science Central, are always written in simple English and accessible to professionals with typically one year of calculus or statistical ... Read More

Feed: Recent Announcements. AWS DeepRacer is the fastest way to get rolling with machine learning, giving developers the chance to learn ML hands-on with a 1/18th scale autonomous car, 3D virtual racing simulator, and the world’s largest global autonomous car racing league. With the 2021 AWS DeepRacer League Virtual Circuit now underway, developers have five times more opportunities to win physical prizes, such as exclusive AWS DeepRacer merchandise, AWS DeepRacer Evo devices, and even an expenses paid trip to AWS re:Invent 2021 to compete in the AWS DeepRacer Championship Cup. To make ML more fun and accessible to every developer, ... Read More

Feed: Neo4j Graph Database Platform. Author: Jennifer Reif. Hello, everyone! In this week’s episode, don’t forget to join us for Global Graph Celebration Day on April 15! Neo4j is hosting an extended meetup with content and announcements. Cristina starts us off with a walkthrough of using Django and Neo4j together on the Paradise Papers data set. Sixing covers importing genomes and ontologies with the KEGG data and exploring for research and scientific hypotheses. Christophe shows off the new change data capture connectors by GraphAware for RabbitMQ, AWS SQS, Azure Service Bus, and CloudEvents with Knative. And finally, help Neo4j improve ... Read More