Tag: data scientist

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  Assumptions of Linear Regression in One Picture + How to learn the maths of Data Science - using your high school maths knowledge Free Book: Statistics, Dataviz, and Data Cleaning with R  Everything You Wanted To Know About Recommender Systems  Simplified Logistic Regression  Alternatives to R-squared (with pluses and minuses)  Machine Learning : Unsupervised – ... Read More

Feed: R-bloggers. Author: Niklas Junker. Networks are everywhere. We have social networks like Facebook, competitive product networks or various networks in an organisation. Also, for STATWORX it is a common task to unveil hidden structures and clusters in a network and visualize it for our customers.In the past, we used the tool Gephi to visualize our results in network analysis. Impressed by this outstanding pretty and interactive visualization, our idea was to find a way to do visualizations in the same quality directly in R and present it to our customers in an R Shiny app. Our first intention was ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: Kapost; This week's guest is Jorge Castanon, a senior data scientist for Watson Studio at IBM. Host Al Martin and Jorge discuss some typical data problems currently plaguing the industry -- and how Watson Studio makes dealing with those problems that much easier. Get ready for an in-depth, technical conversation with two industry experts ... Read More

Feed: R-bloggers. Author: Mango Solutions. We are delighted to announce that Helen Hunter, Chief Data Officer at Sainsbury’s will deliver the opening keynote address at this year’s London EARL conference. As Chief Data Officer at Sainsbury’s plc, Helen’s remit is to maximise the value of the Group’s data asset: democratising access and finding creative ways to unlock its insight potential in support of Sainsbury’s strategy to ‘know our customers better than anyone else’ Over the last 8 years at Sainsbury’s in roles including Director of Innovation, and Director of Data and Relationship Marketing, Helen has brought to bear her experience ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Moses Vandenberg. Do you know that the global business community will be spending $310 billion on the Internet of Things (IoT) by 2020? Isn’t it a huge investment! Why is this trend booming?   Actually, the IoT has encapsulated devices. The software, sensors, actuators and connectivity through vehicles and home appliances are penetrating deeply. This networking model is skyrocketing in almost every walk of life. That’s why small entrepreneurs to big industrialists are hungry for the digital connectivity, interactivity and exchange of data over the internet. Its reason is intelligence that ... Read More

Feed: Microsoft Azure Blog. Author: Roope Astala. This blog post was co-authored by Parashar Shah, Senior Program Manager, Applied AI Developer COGS. When data scientists work on building a machine learning model, their experimentation often produces lots of metadata: metrics of models you tested, actual model files, as well as artifacts such as plots or log files. They often try different models and parameters, for example random forests of varying depth, linear models with different regularization rates, or deep learning models with different architectures trained using different learning rates. With all the bookkeeping involved, it is easy to miss a ... Read More

Feed: Actian. Author: Lewis Carr. If you’re a data engineer or a data architect, then you’re probably kept awake at night wondering how to design your data integration, management and analytics support platforms, so your DBAs and IT Ops colleagues can easily manage them while a varied set of data users are able to consume them simultaneously. These users range from new, demanding, hands-on users, such as developers and data scientists, to those who traditionally use the data through SQL and ad hoc queries, such as business analysts, as well as those who interact with the data indirectly through business ... Read More

Feed: R-bloggers. Author: R Views. Roland Stevenson is a data scientist and consultant who may be reached on Linkedin. reticulate is an R package that allows us to use Python modules from within RStudio. I recently found this functionality useful while trying to compare the results of different uplift models. Though I did have R’s uplift package producing Qini charts and metrics, I also wanted to see how things looked with Wayfair’s promising pylift package. Since pylift is only available in python, reticulate made it easy for me to quickly use pylift from within RStudio. In the article below, I’ll ... Read More

Feed: R-bloggers. Author: Rstats on pi: predict/infer. R users adore the ggplot2 package for all things data visualization. Its consistent syntax, useful defaults, and flexibility make it a fantastic tool for creating high-quality figures. Although ggplot2 is great, there are other dataviz tools that deserve a place in a data scientist’s toolbox. Enter plotly. plotly is a high-level interface to plotly.js, based on d3.js which provides an easy-to-use UI to generate slick D3 interactive graphics. These interactive graphs give the user the ability to zoom the plot in and out, hover over a point to get additional information, filter to ... Read More

Feed: Mr. Fox SQL. For the longest time data science was often performed in silos, using large machines with copies of production data. This process was not easily repeatable, explainable or scalable and often introduced business and security risk. With modern enterprises now adopting a DevOps engineering culture across their applications stack, no longer can machine learning development practises operate in isolation from the rest of the development teams. Thankfully – earlier this year Microsoft GA’d a new service called Azure Machine Learning Services which provides data scientists and DevOps engineers a central place in Azure to create order out ... Read More