Tag: Project

Feed: DivvyCloud. Author: David Mundy; by David Mundy | May 3, 2019 | Blog Post, Security Popular Job Site Exposed 13 Million User Records This misconfiguration epidemic has seen the theft or loss of more than 14 billion data records in the last five years as reported by Breach Level Index.Misconfiguring a cloud database, storage container, or search... by David Mundy | May 1, 2019 | Blog Post, Product Information In a quickly maturing market, DivvyCloud has demonstrated a unique value proposition for enterprises leveraging the public cloud. DivvyCloud Raises $19 Million to Automate Cloud Security and ComplianceInvestment to Fuel ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Kateryna Lytvynova. When you give customers advice that can help them save some money, they will pay you back with loyalty, which is priceless. Interesting fact: Fareboom users started spending twice as much time per session within a month of the release of an airfare price forecasting feature. This tool continues to grow conversion for our partner. Besides travel, price predictions find their application in various scenarios. Commodity traders, investors, construction developers, or energy generators use estimates on future price movements for business purposes. This time we talked with experts from AleaSoft, ENFOR, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Data Science, Machine Learning, Deep Learning, and Artificial Intelligence are some of the most heard about buzzwords in the modern analytical eco-space. The exponential growth of technology in this regard has simplified our lives and made us more machine dependent. The astonishing hype surrounding such technologies has prompted professionals from various disciples to hop on to the ship and consider analytics as their career option. To master Data Science or Artificial Intelligence in that regard, one needs a myriad of skills which includes Programming, Mathematics, Statistics, Probability, Machine Learning, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Andrea Manero-Bastin. This article was written by Will Koehrsen.  Reading through a data science book or taking a course, it can feel like you have the individual pieces, but don’t quite know how to put them together. Taking the next step and solving a complete machine learning problem can be daunting, but preserving and completing a first project will give you the confidence to tackle any data science problem. This series of articles will walk through a complete machine learning solution with a real-world dataset to let you see how all ... Read More

Feed: R-bloggers. Author: R Views. Andrie de Vries is the author of “R for Dummies” and a Solutions Engineer at RStudio Phillip (Armand) Bester is a medical scientist, researcher, and lecturer at the Division of Virology, University of the Free State, and National Health Laboratory Service (NHLS), Bloemfontein, South Africa In this post we complete our series on analysing the HIV pandemic in Africa. Previously we covered the bigger picture of HIV infection in Africa, and a pipeline for drug resistance testing of samples in the lab. Then, in part 3 we saw that sometimes the same patient’s genotype must ... Read More

Feed: R-bloggers. Author: chris2016. Principal component analysis (PCA) is very useful for doing some basic quality control (e.g. looking for batch effects) and assessment of how the data is distributed (e.g. finding outliers). A straightforward way is to make your own wrapper function for prcomp and ggplot2, another way is to use the one that comes with M3C (https://bioconductor.org/packages/devel/bioc/html/M3C.html) or another package. M3C is a consensus clustering tool that makes some major modifications to the Monti et al. (2003) algorithm so that it behaves better, it also provides functions for data visualisation. Let’s have a go on an example cancer ... Read More

Feed: R-bloggers. Author: Colin Fay. How to build a CLI for R, with npm. Background This blog post was triggered by a discussion on Twitter with MartinSkarzynski,who was looking for a way to build a CLI that launches an RScript.Here’s a way to do this using npm. Please note that this blog post won’t teach you how to build the commandline tool, it will quickly go over the way to create a system-widecommand line interface, using npm. If you want to learn more about building the utility, see thisfantastic series of blogpostsby Mark Sellor. Now, the idea is to have ... Read More

Feed: Recent Announcements. In a callback pattern, Step Functions pauses execution of the workflow until your application returns a token through the Step Functions application programming interface. This helps you automate workflows for applications that need human activities such as review and approval of documents or creating and managing work items in a customer support application. You can also use the callback pattern to build custom integrations with third-party services. Step Functions supports callback patterns with Amazon ECS, Amazon SNS, Amazon SQS, AWS Fargate, and AWS Lambda. AWS Step Functions allows you to add resilient workflow automation to your applications ... Read More

Feed: SAS Blogs. Author: Emily Gao. My colleague Wayne Thompson has written a series of blogs about machine learning best practices. In this series' fifth post, Autotune models to avoid local minimum breakdowns, Wayne discusses two autotune methods, grid search and Bayesian optimization. According to another colleague’s paper, Automated Hyperparameter Tuning for Effective Machine Learning, Bayesian optimization is currently popular for hyperparameter optimization. Recently, I read a post on Github which demonstrated the Bayesian optimization procedure through a great demo using Python, and I wondered if I could build the same with the SAS matrix language, SAS/IML. In this article, ... Read More

Feed: Planet big data. Author: Fiona Swerdlow. To help retailers and brands plan for 2019, Researcher Claudia Tajima and I are interviewing experts within Forrester for our series, “Applying 2019 Predictions To Retail.” Last week, we spoke to Sam Stern about how employee experience will impact retailers in 2019. This week, Claudia interviewed Michele Goetz, principal analyst on Forrester’s enterprise architecture team and an expert in AI, on her 2019 AI predictions report. Here’s what Michele thinks retailers and brands can expect and should focus on regarding AI in 2019. Claudia: In general, what should be top of mind this year for retailers in terms of artificial intelligence? Michele: Retailers don’t fully realize that they have to do more curation to determine what ... Read More