Tag: datasets

Feed: R-bloggers. Author: Paweł Przytuła. Machine learning models grow more powerful every week, but the earliest models and the most recent state-of-the-art models share the exact same dependency: data quality. The maxim “garbage in – garbage out” coined decades ago, continues to apply today. Recent examples of data verification shortcomings abound, including JP Morgan/Chase’s 2013 fiasco and this lovely list of Excel snafus.  Brilliant people make data collection and entry errors all of the time, and that isn’t just our opinion (although we have plenty of personal experience with it); Kaggle did a survey of data scientists and found that ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: julianna-delua; So far, 2019 has been an exciting year for the evolution and adoption of artificial intelligence (AI) as more businesses are tapping into it as a technology-enabled business strategy. According to PwC 2019 AI Predictions, monetization of AI is projected to address key enterprise performance levers: growing revenue and increasing profits (48 percent of survey respondents), creating better customer experiences (46 percent), improving decision making (40 percent), innovating products (39 percent) and achieving cost savings (38 percent).Recently, IBM debuted AutoAI, a new capability of Watson Studio that automates ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Dr. Peng Sun, Software Engineer, CA Technologies | June 19, 2019Reading time: 9 minutes Editor’s Note: This presentation was given by Peng Sun at GraphConnect New York City in September 2018.Presentation SummaryCA Technologies was undergoing a digital transformation when they began incorporating Neo4j. They understood that multifaceted problems require different solutions, and sought to cover much more of their extensive data landscape.They were looking for a solution that could encompass the customer footprint and user journey from start to finish. However, they had a lot of dispersed data in a lot ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Jason Zagalsky, Federal Account Manager, Neo4j | May 27, 2019Reading time: 4 minutes The use cases for a graph database in government are endless.Graphs are versatile and dynamic. They are the key to solving the challenges you face in fulfilling your mission.Using real-world government use cases, this blog series explains how graphs solve a broad range of complex problems that can’t be solved in any other way. Last week we focused on a case study at MITRE, a U.S. federally funded, not-for-profit company that used Neo4j to develop CyGraph, a tool ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . We’re excited to announce we’ve started to roll-out the Viewer role for the new workspace experience, perfect for users who need to view content within workspaces without the ability to modify it. The feature roll-out has started and should complete for commercial cloud customers 6/29/2019. The Viewer role gives a read-only experience to its users. They can view dashboards, reports, or workbooks in the workspace, but can’t browse the datasets or dataflows. Use the Viewer role wherever you would previously use a classic workspace set to “Members can only view ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . We are excited to announce new improvements to Power BI dataflows releasing this month including an enhanced compute engine to drastically improve data refresh times and a new set of dataflow templates to help you easily connect to common data sources mapped against the common data model. Enhanced compute engine As organizations accumulate more and more data, it becomes increasingly important to quickly perform ETL at scale over these datasets. Today we are announcing a major step forward in overcoming these pains points with a new compute engine for ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Machine Learning has seen a tremendous rise in the last decade, and one of its sub-fields which has contributed largely to its growth is Deep Learning. The large volumes of data and the huge computation power that modern system possess has given Data Scientist, Machine Learning Engineers, and others to achieve ground-breaking results in the Deep Learning and continue to bring in new developments in this field. In this blog post, we would cover the deep learning data sets that you could work with as a Data Scientist but ... Read More

Feed: Oracle Blogs | Oracle Blogs. Fast fashion retailers are under an immense amount of pressure to get their in-store product assortments allocated perfectly. While customers expect their desired styles and sizes to be in stock, retailers grapple to minimize excessive inventory and dramatic markdowns. Part of the newly launched Oracle Retail Science Platform Cloud Service, the Size Profile Science features enable retailers to tackle this problem by helping accurately predict sales to ensure they have the right inventory mix in the right locations. “Customer expectations are higher than ever and retailers are constantly walking a tightrope, balancing between too much of the wrong ... Read More

Feed: Oracle Blogs | Oracle Blogs. By Rich Clayton If you're seeking to build a more insight-driven organization, you're probably looking for ways to extend and improve your business analytics. There are plenty of products on the market today, but the one you choose will determine just how well—and how quickly—your organization will be able to create value from data. To be effective, the solution must be able to support existing use cases while also allowing your users to connect, enrich, combine, and visualize data on their own. According to Stewart Bryson, CEO and founder of Red Pill Analytics, that's where ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. The Earth Science Information Partners (ESIP) is a US-based nonprofit organization funded by NASA, NOAA, and the USGS. ESIP is playing a critical role in facilitating collaborative efforts to improve the collection, stewardship, and use of Earth science data and information.As part of the Amazon Sustainability Data Initiative, we invited Dr. Annie Burgess, ESIP Lab Director, to share the story of how ESIP is advancing knowledge of Earth-system science. The Challenge of Managing and Extracting Insights from Large Data Portfolios Our scientific understanding of the Earth is based on a combination ... Read More