Tag: predicting

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. A guest post by Rikesh Shah, Lead Digital Relationship Manager, Transport for London (TfL) Online There are 30 million journeys made in London every day. On September 23,  Transport for London (TfL) in partnership with Amazon Web Services and Geovation are hosting a hackathon in London to seek ways to make these journeys more efficient by maximising capacity on the public transport network, maximising capacity on the roads network, and improving air quality. These open data sets are fueling entrepreneurship, accelerating scientific discovery, and enabling Londoners and visitors to travel more easily ... Read More

Feed: Planet MySQL. Author: Mark Callaghan. I ran tests to explain the difference between MyRocks and InnoDB when storing large objects and data with varying amounts of compressibility.Compression in MyRocks is simpler than in InnoDB. You should expect the database to use about 1.1X times the size of the compressed output. When rows compress to 60% of their original size and are 10kb before compression, then each row should use about 6.6kb in the database. The 1.1X adjustment is for space-amplification from leveled compaction.Predicting the space used for InnoDB is harder. First, large LOB column are not stored inline and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Contributed Article from MIT Professor Devavrat Shah. According to analyst firm IDC, the amount of data being generated in our digital universe is expected to double every two years, producing more than 40,000 exabytes by 2020. And while this seemingly endless torrent of data holds enormous potential for organizations, it also presents incredible challenges, the most critical of which is figuring out how to effectively convert the unprecedented volumes and varieties of data into meaningful business insights. For those that harness it successfully, big data has the potential to ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Eric Thorsen. Last week I had a unique opportunity to present to a group of C-level retail industry leaders. Here are five stories I heard that you might find interesting. These are leaders in Merchandising, Marketing, Infrastructure and IT in top European companies.  The common link was dinner and retail. I spoke briefly about my experience in retail and adoption of open source big data, such as Hadoop. What was fascinating was hearing the stories about technology and how it impacts their organizations. At the highest level, my first insight was that they all had a common goal ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Robert Holland. MIT Sloan Management Review posed this question to 15 of the world’s foremost experts on the intersection of technology and management who responded in a series of essays now available from MIT SMR. The essays were commissioned to explore how technology is reshaping the practice of management. The impact of digital technology on how businesses design and produce goods, interact with their supply chains, manage internal communication, and connect with customers is a rich topic that has been, and continues to be, broadly addressed in both commercial and academic business media. But ... Read More

Feed: Planet big data. Author: Jaco Rossouw. Here's a blog post covering some of the most frequently asked questions we get on Machine Learning and Artificial Intelligence, or Cognitive Computing. We start off with "What is Machine Learing?" and finish off with addressing some of the fears and misconceptions of Artificial Intelligence. So, what is machine learning? A simple search on Google for the answer will yield many definitions for it that leave most non-analytical people confused and entering more "What is..." statements into Google. So, I asked our Head of Marketing to try his hand at defining Machine Learning in the most ... Read More

Feed: Planet Python. Author: . This is the fifth post in a series of posts on how to build a Data Science Portfolio. If you like this and want to know when the next post in the series is released, you can subscribe at the bottom of the page.If you’ve ever worked on a personal data science project, you’ve probably spent a lot of time browsing the internet looking for interesting datasets to analyze. It can be fun to sift through dozens of datasets to find the perfect one, but it can also be frustrating to download and import several ... Read More

Feed: Planet big data. Author: Guest Blogger. by Jaya Mathew, Data Scientist at Microsoft By using R Services within SQL Server 2016, users can leverage the power of R at scale without having to move their data around. Such a solution is beneficial for organizations with very sensitive, big data which cannot be hosted on any public cloud but does most of their coding in R.       To illustrate the scenario, we will focus on companies who operate machines which encounter mechanical failures. These failures lead to downtime which has cost implications on any business, hence most companies are interested ... Read More

Feed: Planet big data. Author: Alexander Heidl. The pressure to deliver Alpha – potential above the market average – is immense. And that’s not surprising because in a quick-change disruptive world, Alpha consistency puts an organisation at the sharp edge of its digitally-driven market. If it can be done quickly, that is. One of the biggest stumbling blocks to creating breakthrough insights that drive value though, has been the time it takes to realise or monetise the business potential in data. But what if I said that instead of waiting months or even years for project results you could deliver ... Read More

Feed: SAS BlogsRSS – SAS Blogs. Author: Namita Lokare. Time series machine learning techniques show great promise for the analysis of health care wearable data. As our busy lifestyles render continuous monitoring more and more essential, the need to analyze data to find correlations between these data streams becomes even more important, because they can provide important cues to people. These cues could be as simple as reminding a person to take a walk or move around, which is already being done by a lot of wearables available today, such as Fitbit, Garmin, Nike, etc. However, along with monitoring the current ... Read More