Remove Informatics Remove Machine Learning Remove Statistics
article thumbnail

Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Previously, such problems were dealt with by specialists in mathematics and statistics. Statistics, mathematics, linear algebra. Machine learning. Where to Use Data Science?

article thumbnail

Joshua Walker: Using Data to Improve the Legal System

DataRobot

He‘s the co-founder and executive director of CodeX , the Stanford Center for Legal Informatics, and the author of On Legal A I , a pioneering effort to map the territory between AI and the law. One reason people like the terms machine learning or neural networks is that they’re more specific.

article thumbnail

Innocens BV leverages IBM Technology to Develop an AI Solution to help detect potential sepsis events in high-risk newborns

IBM Big Data Hub

The worldwide statistics on premature births are staggering— the University of Oxford estimates that neonatal sepsis causes 2.5 We joined forces with a Bio-informatics research group from the University of Antwerp and started taking the first steps in developing a solution. million infant deaths annually.

Risk 52