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An introductory hands-on workshop, aimed at the Amateur Data Scientists among us, to the Heritage Health Prize competition. First, we will quickly look at the classes of algorithms & what they do through competition problems & datasets. Next we will dig deeper into one completion the Kaggle RTA Challenge(Ensemble/Random Forest). We will then dive into the Heritage Health Prize, work through the dataset & submit an entry!
Note: While there is not enough time for the participants to work through the different datasets, we will provide links to a hands-on tutorial which you’all can do after the workshop.
Krishna Sankar is a consulting data scientist working on retail analytics, social media data science, and forays into deep learning, as well as codeveloping the DeepLearnR package interfacing R over TensorFlow/Skflow. Previously, Krishna was a chief data scientist at Blackarrow.tv, where he focused on optimizing user experience via inference, intelligence, and interfaces. Earlier stints include principal architect/data scientist at Tata America Intl., director of data science at a bioinformatics startup, and distinguished engineer at Cisco. He is a frequent speaker at conferences, including Spark Summit, Spark Camp, OSCON, PyCon, and PyData, on topics such as predicting NFL winners, Spark, data science, machine learning, and social media analysis, as well as a guest lecturer at the Naval Postgraduate School. Krishna’s occasional blogs can be found at Doubleclix.wordpress.com. His other passion is Lego robotics. You will find him at the St. Louis First Lego League World Competition as a robot design judge.
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