Tag: predicting

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Thursday, September 29, 2016 Posted by Riku Inoue, Product Manager, Google Cloud Platform Earlier this year at GCP NEXT, we introduced new Cloud Machine Learning products with the intention to change the way businesses operate and create new customer experiences, while deepening the insights derived from data.Today, we want to share how Google aims to help more businesses benefit from the advancements in machine learning, while making it easier for them to use ... Read More

Feed: Planet big data. Author: 9Clouds. Finding ‘signal’ through the noise of open source information is ultimately what will drive value to your organization. Whether this is to support sales, investment decisions, or the fight against fraud, corruption, IP theft, or terrorism, it all depends on identifying the ‘signal’ in the data. This article is intended to start a conversation about how open source information needs to be approached to be successful. Internal Data Signals Most clients are very comfortable finding the signals in their own internal data, those solutions have existed for years. Think of the standards used in ... Read More

Feed: Planet big data. Author: Guest Blogger. by Anusua Trivedi, Microsoft Data Scientist This is part 3 of my series on Deep Learning, where I describe my experiences and go deep into the reasons behind my choices. In Part 1, I discussed the pros and cons of different symbolic frameworks, and my reasons for choosing Theano (with Lasagne) as my platform of choice. A very recent benchmarking paper compares CNTK with Caffe, Torch & TensorFlow, and CNTK performs substantially better than all the other three frameworks. In Part 2, I describe Deep Convolutional Neural Network (DCNN) and how Transfer learning ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Jari Turkia. "There are lots of writings about how data analytics changes business and everything, but deep down it only matters how you put these analytics in action. This is a software engineering perspective." Following the success of AlphaGo, the machine learning software that defeated the Go master Lee Sedol, the Wired magazine released an article titled "The End of Code" with a provoking highlight "Soon we won't program computers. We'll train them like dogs." This is a very interesting transition. In reality though, we are not going to train whole large systems like ... Read More

Feed: Planet big data. Author: Robin Davies. Everyone is wanting to learn more about how Machine Learning can be used in their business. What’s interesting though is that many companies may already be using Machine Learning to some extent without really realising it. The lines between predictive analytics and Machine Learning are actually quite blurred. Many companies will have built up some Machine Learning capabilities using predictive analytics in some area of their business. So if you use static predictive models in your business, then you are already using Machine Learning, albeit of the static variety.  The move from Predictive Modelling ... Read More

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