Tag: data science

Feed: Radar. Author: Patrick Hall and Andrew Burt. Learn the latest AI/ML techniques at the O’Reilly Strata Data & AI Conference in San Jose, California, March 15-18, 2020. Get all the details. For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Without being able to troubleshoot models when they underperform or misbehave, organizations simply won’t be able ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: priyanka-jain; Global data privacy compliance regulations like the General Data Protection Regulation (GDPR),California Consumer Privacy Act (CCPA) and Brazil’s LGPD have created scrutiny around personal, customer and employee data. This data is growing at a rapid pace, and so are the mandates requiring protection of sensitive and personal data.As I mentioned in my previous blog post, data is fueling digital transformation. With the ever-increasing growth in data, the opportunity to drive digital transformation is slipping out of reach for those who aren’t able to properly manage their data. Thus, ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: pearl-chen; The IBM Cloud Pak for Data ecosystem of technology partners is growing. As an open, Kubernetes-based, data and AI platform, our platform integrates with an array of tech solutions that enhance what we do to help companies make their data AI-ready. From stepping up data security to empowering developers to iterate faster, our joint solutions lay the data foundation to infuse AI across the organization. We’re happy to team up with some of the most innovative companies in the industry: MongoDB MongoDB partners with Cloud Pak for Data to ... Read More

Feed: The Connector by Workato. Author: Katharine Marais; Founded in 2013, Fundbox is a market-leading B2B payments and credit network designed to facilitate and accelerate B2B commerce at scale,. With Fundbox, sellers (of all sizes) can quickly increase average order volumes (AOV) and improve close rates by offering more competitive net terms and payment plans to their SMB buyers. With heavy investments in machine learning and the ability to quickly analyze transactional data, Fundbox is reimagining B2B payments and credit products in new category-defining ways.. Fundbox’s novel approach involves making data-driven decisions, rather than business owner information that traditional banks ... Read More

Feed: SAS Blogs. Author: Andrea Deinert. Die Data Science Szene teilt sich auf in Startups und Corporates – ist das wirklich so? Die Antwort hängt davon ab, wen man fragt. Startups sind sich sicher (Interview mit Johannes Fuhr von predict42), dass Corporates nicht aus ihren proprietären Strukturen rauskommen (wollen). Dass sie gar nicht auf die Idee kämen, ihre Data Science Community andernorts als auf klassischen Konferenzen zu suchen. Corporates hingegen sagen, das stimme gar nicht. Diese Differenz in der Wahrnehmung hat uns interessiert. Wir sprachen also mit Helmut Linde von Merck, einem leidenschaftlichen Meetup-Gast. Der globale Head of Data Science ... Read More

Feed: R-bloggers. Author: Bob Muenchen. [This article was first published on R – r4stats.com, 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. Introduction R AnalyticFlow (RAF) is a free and open source graphical user interface (GUI) for the R language that focuses on beginners looking to point-and-click their way through analyses.  What sets it apart from the other half-dozen GUIs for R is that it uses a flowchart-like workflow diagram to control the ... Read More

Feed: Alation. Author: Sergey Astretsov. December 10, 2019— Data and analytics leaders, like Chief Data Officers, are increasingly tasked with harnessing data to move the business forward. They need to create a data culture where more people are empowered to make data-driven decisions and create new opportunities. At the same time, data leaders need to ensure that the use of data is well-governed, accurate, adheres to policies and protects consumer privacy. Missteps can be costly — including huge fines and damage to the brand — and erode trust in data, ultimately derailing efforts to create a data culture. Yet, traditional ... Read More

Feed: Radar. Author: Mike Loukides and Ben Lorica. Learn the latest AI/ML tools and trends at the O’Reilly Strata Data & AI Conference in San Jose, California, March 15-18. Check it out. Roughly a year ago, we wrote “What machine learning means for software development.” In that article, we talked about Andrej Karpathy’s concept of Software 2.0. Karpathy argues that we’re at the beginning of a profound change in the way software is developed. Up until now, we’ve built systems by carefully and painstakingly telling systems exactly what to do, instruction by instruction. The process is slow, tedious, and error-prone; ... Read More

Feed: R-bloggers. Author: Learning Machines. There seems to be some revolution going on in the R sphere… people seem to be jumping at what is commonly known as the tidyverse, a collection of packages developed and maintained by the Chief Scientist of RStudio, Hadley Wickham. In this post, I explain what the tidyverse is and why I resist using it, so read on! Ok, so this post is going to be controversial, I am fully aware of that. The easiest way to deal with it if you are a fan of the tidyverse is to put it into the category ... Read More

Feed: R-bloggers. Author: Pedro Coutinho Silva. # Abstract As web dashboards have become the norm for interacting with data, looks and added functionality have taken a more prominent role. Dashboard users expect the typical look and feel and interactivity they get when surfing the web. To help fill the gap between data scientists and developers, packages that simplify and streamline the dashboard creation process have become more important as part of the dashboard creation workflow. We will start with a basic shiny dashboard that uses no libraries. This is how most shiny dashboards look when someone begins working on it ... Read More