Tag: python

Feed: Featured Blog Posts - Data Science Central. Author: Sharmistha Chatterjee. Introduction and Motivation It is becoming increasingly common for organizations to collect very large amounts of data over time, and to need to detect unusual or anomalous time series. For example, Yahoo has banks of mail servers that are monitored over time. Many measurements on servers/IoT device performances are collected every hour for each of thousands of servers in order to identify servers/devices that are behaving unusually. Python library tsfeature helps to compute a vector of features on each time series, measuring different characteristic-features of the series. The features may include lag correlation, the strength ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Aileen Scott. Data scientist! The most awaited job for candidates who’ve got the affinity for statistics and mathematics. With data growing at an exponential rate, data science now becomes an appealing career path. Data science is super technical, interesting, and tough to get into. However, making an entrance as a data scientist may not be as challenging as you think. First, know that data is being generated in the blink of an eye. To be precise, according to the “2021 Robert Half Technology Salary Guide” data scientist touts to be one ... Read More

Feed: R-bloggers. Author: T. Moudiki. For some reasons I couldn’t foresee, there’s been no blog post here on november 13and november 20. So, here is the post about LSBoost announced here a few weeks ago. First things first, what is LSBoost? Gradient boosted nonlinear penalized least squares. More precisely in LSBoost, the ensembles’ base learners are penalized, randomized neural networks. These previous posts, with several Python and R examples, constitute a good introduction to LSBoost: More recently, I’ve also written a more formal, short introduction to LSBoost: The paper’s code – and more insights on LSBoost – can be found ... Read More

Feed: R-bloggers. Author: Theory meets practice.... Abstract: Slides, R code and video lectures of our 2020 The Mathematics and Statistics of Infectious Disease Outbreaks summer course at Stockholm University are made available to a wider audience. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr source code of this blog is available under a GNU General Public License (GPL v3) license from github. Introduction During the 2020 summer Tom Britton and I gave a course on The Mathematics and Statistics of Infectious Disease Outbreaks at the Department of Mathematics, Stockholm University, Sweden. Pre-requisites for the ... Read More

Feed: Planet PostgreSQL. This week Apple started delivering Macs using their own Apple Silicon chips, starting with a Mac SOC named the M1. M1 uses the ARM instruction set and claims some amazing acceleration for media workloads. I wanted to know how it would do running PostgreSQL, an app that's been running on various ARM systems for years. The results are great! ... Read More

Feed: Recent Announcements. With this launch, Kinesis Data Analytics supports JDK 11 and Scala 2.12, with support for Python coming soon. Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data streams. Amazon Kinesis Data Analytics reduces the complexity of building and managing Apache Flink applications. Amazon Kinesis Data Analytics for Apache Flink integrates with Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon Elasticsearch Service, Amazon DynamoDB streams Amazon S3, custom integrations, and ... Read More

Feed: R-bloggers. Author: Daniel Petzold and Carl Howe. [This article was first published on RStudio Blog, 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. Short term forecast from the California COVID Assessment Tool (CalCAT) “Things move along so rapidly nowadays that people saying: “It can’t be done,” are always being interrupted by somebody doing it.” – Puck magazine, 1903. As we at RStudio have talked about the topic of serious data science, we ... Read More

Feed: AWS Big Data Blog. The Amazon Redshift Data API makes it easy for any application written in Python, Go, Java, Node.JS, PHP, Ruby, and C++ to interact with Amazon Redshift. Traditionally, these applications use JDBC connectors to connect, send a query to run, and retrieve results from the Amazon Redshift cluster. This requires extra steps like managing the cluster credentials and configuring the VPC subnet and security group. In some use cases, you don’t want to manage connections or pass credentials on the wire. The Data API simplifies these steps so you can focus on data consumption instead of ... Read More

Feed: SAS Blogs. Author: Harry Snart. “It doesn’t stop being magic just because you know how it works.”Terry Pratchett, The Discworld Series Welcome to the third, and final, instalment of Data Science in the Wild. In Part 1 we were lost in the woods thinking about how to start a data science project. In Part 2 we found our way through the decision trees as we considered data and modelling strategies. And in this final part we’ve come out the other side, homeward bound, as we make some final considerations around AutoML, model interpretability and solving business problems. AutoML Someone ... Read More

Feed: R-bloggers. Author: R on solarchemist.se. The units package handles physical quantities(values with associated units) in R,and builds on UNIDATA’s udunits-2 C library ofover 3000 supported units, making it a very robust implementation while avoiding the sinof re-inventing the wheel. It does lead to a dependency on the system-level package udunits2however, making it very hard to install and work with units on Windows.I think that these packages have finally brought R up to par with Python with regards toquantity calculus, which is a crucial aspect for any scientist or engineer handlingphysical measurement values.Although it should be noted that the uncertainties ... Read More