Tag: statistics

Feed: Planet PostgreSQL. Last summer, in a burst of sunny optimism and out of a desire for transparency, I posted a blog post about the then-new PostgreSQL Contributors Team, which was charged with updating the contributors page as required. Having now been on this mailing list for 7 months or so, I have a few - actually quite a few - comments about the whole problem space. Recognizing contributors is important. People contribute to the PostgreSQL project for many reasons. Some have an economic interest in contributing to PostgreSQL and in being seen to contribute to PostgreSQL, while for others ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Janardhanan PS. Models are simplification or approximation of reality and hence they will not capture all of reality. “All models are wrong, but some are useful” is a famous quote by George Edward Pelham Box (1919–2013). George Box was a British mathematician and professor of statistics at the University of Wisconsin. Statisticians develop theoretical models to predict the behaviour of certain process. The meaning of this quote is that every single model will be wrong and it never represents the exact behaviour. But, even if the model cannot describe exactly the ... Read More

Feed: R-bloggers. Author: Stephan Emmer. [This article was first published on r-bloggers | STATWORX, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Data operations is an increasingly important part of data science because it enables companies to feed large business data back into production effectively. We at STATWORX, therefore, operationalize our models and algorithms by translating them into Application Programming Interfaces (APIs). Representational State Transfer (REST) APIs are well suited to be implemented ... Read More

Feed: R-bloggers. Author: Business Science. [This article was first published on business-science.io, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Product price estimation and prediction is one of the skills I teach frequently – It’s a great way to analyze competitor product information, your own company’s product data, and develop key insights into which product features influence product prices. Learn how to model product car prices and calculate depreciation curves using the brand ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; How often are you exactly right? I mean, 100% perfect? It’s not often. When delivering new software and services to customers (internal or external), you’ve made a bet that what you’re providing is what the customer truly needs. The problem with traditional delivery is that you might be wrong, and by quite a bit. What if instead of optimizing for shipping the perfect thing when it’s ready, you optimized for feedback from your customer base? The goal of shipping now becomes learning, rather than checking off boxes on a requirement sheet. This is ... Read More

Feed: Planet PostgreSQL. It’s been exactly half a year since the last major release of the pgwatch2 Open Source PostgreSQL monitoring tool, and I’m glad to announce that another huge set of useful features and improvements have found their way into the pgwatch2 code repository! The new version is incremented to v1.7 and, continuing the naming tradition, I’m also calling it “Feature Pack 6” as it’s mostly about new features mixed with some bugfixes, although it’s been surprisingly error-free for the last year. Note that listed below are only the most significant changes since last major version, v1.6, so please ... Read More

Feed: R-bloggers. Author: R on Sastibe's Data Science Blog. Recently, I was tasked with a straightforward question: “In an A/B test setting, how many samples do I have to collect in order to obtain significant results?” As ususal in statistics, the answer is not quite as straightforward as the question, and it depends quite a bit on the framework. In this case, the A/B test was supposed to test whether the effect of a treatment on the success rate p had the assumed size e. The value of the success rate had to be estimated in both test and control ... Read More

Feed: Planet MySQL; Author: MyDBOPS; As a part of Mydbops Consulting we have a below problem statement from one of our client. “We have a high powered server for reporting which in turn powers our internal dashboard for viewing the logistics status.Even with a high end hardware, we had a heavy CPU usage and which in turn triggers spikes in replication lag and slowness. Below is the hardware configuration.“ OS : Debian 9 (Stretch) CPU : 40 RAM : 220G (Usable) Disk : 3T SSD with 80K sustained IOPS. MySQL : 5.6.43-84.3-log Percona Server (GPL) Datasize : 2.2TB Below is ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. It is sometimes said that you don't need to know math to be a data scientist. Sometimes the opposite is said, after all, data science is supposed to be a science! Regardless, below are a few of my articles featuring how data science and math can benefit from each other - not just math to solve data science problems, but also data science to solve math problems. Articles Variance, Attractors and Behavior of Chaotic Statistical Systems New Family of Generalized Gaussian Distributions Gentle Approach to Linear Algebra, with Machine ... Read More

Feed: SAS Blogs. Author: Lora D. Delwiche. One great thing about being a SAS programmer is that you never run out of new things to learn. SAS often gives us a variety of methods to produce the same result. One good example of this is the DATA step and PROC SQL, both of which manipulate data. The DATA step is extremely powerful and flexible, but PROC SQL has its advantages too. Until recently, my knowledge of PROC SQL was pretty limited. But for the sixth edition of The Little SAS Book, we decided to move the discussion of PROC SQL ... Read More