Tag: part

Feed: Featured Blog Posts - Data Science Central. Author: Ronald van Loon. As a long-time part of this industry, I have spent a good part of the last decade talking about the digital transformation. Call it the digital transformation or the data-led transformation, but this transformation has been the talk of the town for a long time now.  Not only are organizations geared toward achieving a better analytics setup, but they are also on the lookout for a more efficient data policy in the process. With many cloud service providers around us offering AI as a service, companies can tap ... Read More

Feed: R-bloggers. Author: An Accounting and Data Science Nerd's Corner. Last week, we started a new course titled “Statistical Programming and OpenScience Methods”. It is being offered under the research program ofTRR 266 “Accounting for Transparency”and enables students to conduct data-based research so that others can contributeand collaborate. This involves making research data and methods FAIR(findable, accessible, interoperable and reusable) and results reproducible.All the materials of the course areavailable on GitHub together withsome notes in the README on how to use them for self-guided learning. The course is over-booked so running a normal introduction round was notfeasible. Yet, I was ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.   Featured Resources and Technical Contributions  40+ Modern Tutorials Covering All Aspects of Machine Learning New Notebook: Deep Learning and Computer Vision with CNNs (Convolutional Neural Networks) Bayesian Machine Learning - Part 7 New Notebook: Getting Started with TensorFlow 2.0 Difference Between Correlation and Regression in One Picture Implementing Linear Regression with Golang Understanding Dataflow graphs in TensorFlow Creating a ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: AWS Public Sector Blog Team. AWS Public Sector Summit Singapore 2019 – Keynote illustration by Jerry Hargrove On September 24 & 25, Amazon Web Services (AWS) welcomed 1,865 attendees for the AWS Public Sector Summit in Singapore, newly expanded to include customers from Singapore as well as across the Asia Pacific Region. Technologists and executives gathered to learn how the cloud is driving innovation across government, education, and nonprofits worldwide, get inspired, and begin to build. Read below for highlights from the AWS Public Sector Summit in Singapore. Keynote speakers highlight region ... Read More

Feed: CronJ. Author: Manas Yadav; If you are a web developer you should have come across the term Http and HTTP requests. Knowing about these terms will make you understand how the client-server architecture works and how the client and server communicate with each other. So let’s dive into the concept of HTTP. What is HTTP? It stands for hypertext transfer protocol. Using this protocol the client sends a request to the server and based on the request the server and the web browser respond to the client. In a nutshell, we can say that it’s the base using which ... Read More

Feed: Recent Announcements. With improvements to “Single-Pass HQ” and “Multi-Pass HQ” using AVC (Advanced Video Coding), better video quality (VQ) can be achieved compared to previous outputs without increasing the peak bitrate, or the same VQ can be achieved with a lower peak bitrate. Greater compression efficiency reduces storage and delivery costs, and improved VQ increases viewer satisfaction. Accelerated Transcoding has two new features. First is the ability to frame capture JPEG files for jobs with Accelerated Transcoding enabled, generating thumbnails for video outputs that can be used for metadata or other purposes with the benefit of faster turnaround times ... Read More

Feed: Big Data Made Simple. Author: Dan Matthews. Historically, there has been a significant separation between organizations and the stakeholders who support them. While consumers think of themselves as human individuals, brands are sometimes viewed as faceless, corporate machines. However we’re discovering that relating to stakeholders on an individual level is vital to how successful a brand will be, especially in the digital age.This relationship can only be built by minimizing the gap between people and the organizations they support. Brands and institutions can best do this by getting to know their stakeholders through data. The potential for this is ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. Our team was in Ängelholm, Sweden this week, to spend some time working together which is rare as a distributed group. But especially also to run the very first Neo4j Online Developer Conference (NODES), with more than 50 sessions by speakers from 15 countries in 5 tracks. Thanks a lot to everyone who presented, contributed and helped. So we’re excited to make the first content available, Emils Keynote and announcements. In the Keynote he covered the impressive Neo4j community, Jim Webber showed a preview of 4.0 features, Michael spoke about Neo4j Labs ... Read More

Feed: R-bloggers. Author: Roel M. Hogervorst. From one representative barrel of malt extract they had taken a lot of samples. happen if they drew and averaged multiple samples. By simulating these draws from one barrel they generalized this pattern towhat would happen if they sampled from the all of the barrels.And that is what I will show in R code. Simulating drawing from a barrel First the goal in clearer language.We want to know how many samples you have to draw to know what the real degree saccharine level of the barrel is. With a 10 to 1 odds of ... Read More

Feed: R-bloggers. Author: Jozef's Rblog. When a translation is not there We have discussed in the first part that the set of operations translated to Spark SQL via dbplyr may not cover all possible use cases. In such a case, the option to write SQL directly is very useful. When translation does not provide expected results In some instances using dbplyr to translate R operations to Spark SQL can lead to unexpected results. As one example, consider the following integer division on a column of a local data frame. # id_div_5 is as expected weather %>% mutate(id_div_5 = id %/% ... Read More