Feed: Featured Blog Posts - Data Science Central. Author: Betsy Romeri. By Pranay Agarwal and Betsy Romeri. “They just don't understand me. I provide them with all the necessary details, all the data and analysis possible, but they don't seem to get it.” These were the comments of a data scientist at one of the largest CPG companies in Brazil as he vented to me over coffee and described how frustrating his last year had been. He definitely was feeling the heat from the business stakeholders. None of the major analytics initiatives that his team had worked on had really taken off, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Jesus Ramos. TL;DR: Echo chambers created by CA or other political marketing firms are bad for democracy, but you can counter them by following pages, people and content you would normally not follow on FB. Thanks to a famous Vice article from April 2017, everyone, even those not acquainted with technology, has now an idea of how we are basically giving Facebook a map of our preferences, orientations, motivations, and even our psyche, by using it to share our interests, play games, answer quizzes and interact with other people. This data, in turn, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Olha Zhydik. Neural networks have made significant leaps in the image and natural language processing (NLP) recently. They’ve not only learned to recognise, localise and segment images; they’re now able to effectively translate natural language and answer complex questions. One of the precursors to such massive progress was the introduction of Seq2Seq and neural attention models – enabling neural networks to become more selective about the data they’re working with at any given time. One of the precursors to such massive progress was the introduction of Seq2Seq and neural attention models – enabling neural networks ... Read More

Feed: R-bloggers. Author: R Views. [This article was first published on R Views, 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. In this post, we will develop a framework for always-valid inference based on the paper Always Valid Inference: Continuous Monitoring of A/B Tests (2019 Johari, Pekelis, Walsh). Using an always-valid p-value allows us to continuously monitor A/B tests, and potentially stop the test early in a valid way. In section 5 of ... Read More

Feed: R-bloggers. Author: Florian Privé. [This article was first published on Florian Privé, 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. In this post, I present something I am currently investigating (feedback welcome!) and that I am implementing in my new package {bigutilsr}. This package can be used to detect outlier samples in Principal Component Analysis (PCA). remotes::install_github("privefl/bigutilsr") library(bigutilsr) I present three different statistics of outlierness and two different ways to choose the ... Read More

Feed: R-bloggers. Author: Matthias Nistler. Like the data hunter he is, my STATWORX colleague Jakob came across a rich data source regarding gas station prices. While his focus has been on checking very common myths about gas prices (check out his blogpost!), he did a fantastic job at cleaning and preparing the raw data to get it in a usable format in the first place. Obviously, I wanted to check whether one can make use of this data and further freely accessible data sources to check gas companies narratives. Let me guide you through my work process! Opening the treasure ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: Anonymous; Blog The fusing of analytics with leading technologies can unlock significant business value and bring new transformation opportunities for enterprise companies. In order to be successful, analytics-based initiatives such as AI and the Internet of Things (IoT) need massive amounts of big data—and also ... Read More

Feed: SAS Blogs. Author: Inge Krogstad. IT managers see the potential for cost-cutting from transitioning application development to open source software (OSS). Today, companies can hire recent college graduates with skills in open source development and avail themselves of the free software. But is all that glitters really gold? Users groups and more formal workgroups are experiencing an avalanche of new routines that have been made available. And users are now sharing programs along with their own cutting-edge ideas, whether based on R, Python, Tensorflow, or another programming language or library. Therefore, it has to be assumed that business leaders ... Read More

Feed: MemSQL Blog. Author: Oryan Moshe. Thanks to Oryan Moshe for this awesome blog post, which originally appeared on DEV Community. In the blog post, Oryan describes how to achieve the high performance of MemSQL’s columnstore for queries while keeping transaction data in PostgreSQL for updates – Ed. Making the impossible hard I… don’t think this is how it should look like.So it’s this time of the year again, we need to upgrade our MemSQL cluster and expand our contract to fit the new cluster topology. We really outdid ourselves this time. Expanding to a 1TB cluster is impressive, especially ... Read More

Feed: Planet big data. Author: Sandeep Raut. Running your own business comes with a lot of challenges. Digital Marketing does not need to be one of them.Our workshop will give you practical approaches with automation tools and more than 6 keys to stand out from the competition.Join us on 14th Sept2019 at Hotel Archana Residency, Mulund at 8 AM.Register : http://meudyojak.com/portfolio/digital-marketing-workshop/ #GoingDigital #DigitalStrategy #MeUdyojak #DigitalTransformation #DigitalMarketing ... Read More