Data Science Challenges in Behavioral Health Care Analysis

Bonnie Ray. VP Data Science, Talkspace. While applications of machine learning and data science are becoming commonplace in health research using information derived from Electronic Health Records (EHRs), large biological sample collections (i.e., -omics data), medical imaging data, and sensor data collected using medical devices, applications of large-scale machine learning in the behavioral health care …

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Data Science at Alibaba

Hongxia Yang, Director & Senior Staff Data Scientist, Alibaba Group.  What is Data Science? And what is Data Science in a leading global company? Let me share a few thoughts based on my industry experience over the past few years and my current job at Alibaba Inc. We have all heard of this company as …

Using statistics and data science to build a crowdsourcing data platform

by Ankur Gupta, Machine Learning Scientist, Premise Data, San Francisco.   Increased internet connectivity has allowed large numbers of people to work towards a single goal in a distributed fashion. This practice is called crowdsourcing and we see successful examples of crowdsourcing everywhere. The most famous example is perhaps Wikipedia, which allows anyone in the world …

50 Years of Data Science

By David Steinberg.  Data Science has become a rallying cry for universities, research organizations, and many commercial and industrial companies. We are surrounded by ever increasing amounts of data and by myriad methods and algorithms to take advantage of them. Rallying cry aside, no one seems to be very clear about just what IS data …