Weekly Big Data Catch-Up

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Big Data News, Events, and Expert Opinion

Excerpts:

13-15 October, 2014- Linguamatics Text Mining Summit 2014, Rhode Island

Linguamatics Text Mining SummitThis year’s meeting will take place on October 13 – 15, 2014 in the beautiful and historic city of Newport, Rhode Island, at the Hyatt Regency Newport Hotel & Spa. The hotel is surrounded by Narragansett Bay, next to the famous Newport marina and boasts extensive grounds and facilities including a swimming pool, Stillwater Spa and close proximity to the famous Newport National Golf Club. Confirmed industry speakers to date: Mark Burfoot, Novartis Institutes for BioMedical Research Text Mining and Knowledge Strategy in an Evolving Pharma Landscape Mick Correll, Genospace Personalized Medicine in Cancer Elzbieta Skrzypek, Cell Signaling Technology Searching scientific literature for a public database – the PhosphoSitePlus case Ryan Owens, Spartanburg Regional Healthcare System Gaining critical information for clinical trials using NLP Jonathan Keeling, Boehringer Ingelheim Integration of...
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20-21 October, 2014- Analytics 2014, Las Vegas

6022907226_c3bd319110_zThe Analytics 2014 Conference is designed for statisticians, analysts, data scientists, forecasters, data miners, and their managers, from all major industries including health and life sciences, education, financial services, government, telecommunications, insurance, retail, utilities, and manufacturing. Last year’s event drew nearly 1,000 attendees from hundreds of organizations.If analytics is a key element of your job then this conference is primarily designed for you, and will enable you to gain knowledge and inspiration which can be put into practice in your work. In addition, you will have the opportunity to share best practices, new techniques, and the latest trends in applied analytics. The Analytics 2014 Conference is also intended for managers and directors who want to learn about the business value of applied analytics and adopt new, smart ways to grow...
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Top 10 Big Data Videos on Youtube

10 Best Big Data Videos on YoutubeWhether you’re entirely new to the field of big data, or looking to expand your machine learning knowledge; whether you have 3 hours or 3 minutes; whether you want you want to know more about the technology, or the high-level applications- this list is a sample of the best Youtube has to offer on big data. Hit play, and enjoy a time- and cost-effective way to continue your big data exploration. (A note on selecting the videos: we took the most viewed videos in the “Science and Tech” and “Education” categories on Youtube on the subjects of big data, data science, machine learning and analytics. We then used a formulae that weighs up rates of engagement (likes and dislikes) with views. Got a great video that you think is missing...
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MIT Have Developed an Algorithm Which Can Predict An Area’s Crime Rate Using Google Street View

MIT Have Developed an Algorithm Which Can Predict An Area's Crime Rate Using Google Street ViewResearchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have devised an algorithm that can determine facts like “which scene has a higher crime rate”, or is “closer to a McDonald’s restaurant”, about a location, only with the help of an image or two. MIT reports that although “humans are generally better at this specific task than the algorithm”, what remains intriguing is that “the computer consistently outperformed humans at a variation of the task in which users are shown two photos and asked which scene is closer to a McDonald’s.” The team of researchers included PhD students Aditya Khosla, Byoungkwon An, and Joseph Lim, and CSAIL principal investigator Antonio Torralba. They essentially managed feed a computer on a set of 8 million Google images from eight U.S. cities...
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Former LinkedIn Data Scientist, Gloria Lau, Joins Timeful Data Team to Make Time Management Smarter

4278432941_5cb085182e_zTimeful, the “intelligent time manager” app, has appointed LinkedIn’s former Senior Manager of Data Science, Gloria Lau, to fill the newly formed position of Vice President of Data. “Making time for the things that actually matter in life is something we all have trouble with,” notes Lau, reports Business Wire. ”Timeful has developed a unique solution to this age-old problem by combining technology with behavioral science and packaging it into a user-friendly mobile application. I am thrilled at the opportunity to leverage my work in data science to help Timeful make people’s lives better and more productive.” Lau has known Timeful since its days as a research prototype, she tells Business Insider. Presently her work will involve the app’s intelligent data-driven algorithm to help users manage their appointments and activities....
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Meet Interana- An Events-Based Big Data Solution Built by Former Facebook All-Stars

Meet Interana- An Events-Based Big Data Solution Built by Former Facebook All-StarsThe raft of expectations and requirements of new big data tech coming to market continues to grow and grow. They’ve got to be fast. They’ve got to be scalable. They’ve got to handle key business metrics, such as growth, retention and churn. Increasingly, they’ve also got to be easy-to-use and intuitive, so they can slot into the workflows of every employee, and not just leave insights in the hands of data scientists. One solution which meets all these needs- and launched into public beta today- is Interana. Interana is an event-based analytics solution which stores billions of sequences of events, and can deliver answers in seconds. It also features an interactive and visual interface, meaning data exploration is no longer just open to the experts. And, of course, it’s fast....
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Neglected Machine Learning Ideas

neglected machine learning ideas 8This post is inspired by the “metacademy” suggestions for “leveling up your machine learning.” They make some halfway decent suggestions for beginners. The problem is, these suggestions won’t give you a view of machine learning as a field; they’ll only teach you about the subjects of interest to authors of machine learning books, which is different. The level-3 and level-4 suggestions they make are not super useful either: they just reflect the tastes of the author. The machine learning literature is vast, techniques are bewilderingly diverse, multidisciplinary and seemingly unrelated. It is extremely difficult to know what is important and useful. While “metacademy” has the horse sense to suggest reading some books, the problem is, there is no book which can even give you a survey of what is available,...
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Apple Health: The Next Frontier in Health Data?

Apple Health The Next Frontier in Health DataConsumer electronics firm Apple hit the headlines recently with the launch of high-profile products like the iPhone 6 at its annual keynote speech. One less prominent facet of the keynote, however, was the rolling out of a new app, “Health”, which it calls “an entirely new way to use your health and fitness information”. The company’s foray into personal consumer healthcare is a sign of the growing popularity of the “quantified self” movement, which encourages individuals to collate data on their personal activity, consumption and other variables. Apple describes Health as “an easy‑to‑read dashboard of your health and fitness data”, bringing together information which currently sits disparate across the user’s device. Users can input such information manually by obtaining it from a medical practitioner or other sources, or can collect...
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