NU Grads Present Win Hackathons with Teradata Analytics

Might 18, 2017 | Chicago, IL

Winners deal with real-world enterprise case, establish essentially the most impactful critiques on Amazon

Teradata (NYSE: TDC), the main knowledge and analytics firm, right this moment introduced scholar winners from the Teradata and Northwestern College Hackathon on the college’s McCormick Schooling Middle held on Might 2. The profitable graduate college students, Lauren Yu and Jessica Chan, will obtain journey packages to the upcoming Teradata PARTNERS convention to current their findings to a world viewers of data-driven professionals.

For this yr’s Hackathon, the Northwestern College Grasp of Science in Analytics (MSiA) Program, one of many prime knowledge science packages, challenged 22 graduate scholar groups to place their knowledge science expertise to the take a look at whereas fixing real-world huge analytics issues. With just a few hours of coaching, the scholars used Teradata Aster Analytics to compete, using Teradata Multi-Style Superior Analytics™ methods together with sample, textual content, prediction and graph analytics.

Hackathon winners Yu and Chan analyzed 500,000 Amazon critiques to pinpoint the traits that finest predicted a overview’s “helpfulness.” The crew constructed a collection of analytical fashions to interrupt down a subset of the info consisting of all critiques that had not less than 5 useful notifications. They then developed a “helpfulness ratio” that allowed them to match the influence of variables like phrase rely and readability.  The outcomes of their analytical train are detailed within the Northwestern College publication, included right here.


“On this Hackathon, these college students did a wonderful job when examined with real-world challenges equivalent to brief deadlines, unfamiliar instruments, and the necessity to apply comfortable expertise equivalent to creativity, collaboration, and communication.  You’ll be able to full a hackathon with coding expertise, however to win the Northwestern Hackathon you want the complete ability stack,” stated Roger Fried, senior knowledge scientist on Teradata Aster’s Superior Technique crew.


“What I loved concerning the profitable shows on this Hackathon was that, regardless of my familiarity with the datasets and the conventional options, the scholars on this program put a recent spin on the options and stunned me with their approaches,” Fried added.


The Hackathon was led by Northwestern College Professor and MSiA program director Diego Klabjan with prime Teradata Aster Analytics knowledge scientists together with Greg Bethardy, Adam London, Roger Fried and Choudur Lakshminarayan.

The Teradata crew met with college students previous to the Hackathon to coach them on Teradata Aster analytics instruments and methods. After the eight-hour occasion, scholar groups mentioned their findings with a panel of judges that included Teradata members, a current MSiA alum, and returning decide Szabolcs Paldy, vice chairman of digital advertising and marketing at Uncover Monetary Providers. Groups have been assessed based mostly on their analytic method, creativity, and closing presentation.

Northwestern’s MSiA program yields a 15-month grasp’s diploma that immerses college students in a complete, utilized curriculum of information science, info know-how, and the enterprise of analytics. This system emphasizes hands-on expertise and supplies college students with a rigorous course of examine in all three areas of analytics: predictive, prescriptive, and descriptive. College students finishing this system have acquired gives to work for organizations together with Nike, Apple, Google, IBM, NASA, Teradata, and Fb, amongst others.

“I feel the analytics self-discipline is shifting in three concurrent instructions: synthetic intelligence, self-service knowledge science, and real-time determination making,” stated Dr. Klabjan. “None of those is now utterly prepared for prime time – with uncommon exceptions, however options are in good progress.”

“Our partnership with Teradata may be very helpful for the MSiA program, as a result of it provides college students entry to high-quality trade instruction and analytic software program,” he added. “The hackathon setting encourages college students to problem themselves and prepares them to unravel real-world issues. Teradata’s crew is extraordinarily skilled and effectively ready, and the scholars study considerably from the Aster scientists’ experience and data.”

“Sensible enterprise analytics usually contain imbalanced binary classifications, the place the full variety of positives is much lower than the negatives,” stated Greg Bethardy, knowledge scientist and resolution architect at Teradata. “That is widespread throughout all industries, for instance in monetary fraud detection, medical analysis, and manufacturing anomaly detection, to call just a few.   A number of of the groups acknowledged this within the knowledge units. They improved their prediction accuracy utilizing the Aster machine studying capabilities.  The scholars demonstrated methods equivalent to over/beneath sampling, averaging collectively a number of fashions, and trendy ensemble strategies.”


Along with sponsoring the annual Hackathon at Northwestern College, Teradata’s educational program, Teradata College Community (TUN) hosts a wide range of workshops, scholar competitions, occasions, and gives by means of its web-based portal a cloud setting with  supplies protecting every thing from knowledge science and analytics to huge knowledge and knowledge warehousing, all offered without charge to the colleges, college or college students. TUN has over 4,500 registered college members and tens of hundreds of scholars from over 2,500 universities in 117 international locations. Finalists for the TUN 2017 annual scholar competitions, the 2017 Analytics Problem and 2017 Knowledge Problem, partnering with the charity Rise Towards Starvation, may even be presenting in classes on the Teradata PARTNERS Convention.

Related Information Hyperlinks

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