Teaching Data Science in Developing Countries

Rahim Mahmoudvand, Bu-Ali Sina University. Two years ago, the regional organization for civil registration in Hamedan invited me to present a lecture about vital statistics (birth, death, marriage and divorce). I knew the audience did not consist of statisticians. For about a week, I pored over their yearbooks. Then, instead of showing them detailed statistical … Continue reading Teaching Data Science in Developing Countries

Advertisements

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 … Continue reading Data Science Challenges in Behavioral Health Care Analysis

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 … Continue reading Data Science at Alibaba

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 … Continue reading Using statistics and data science to build a crowdsourcing data platform

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 … Continue reading 50 Years of Data Science