In this contributed article, Naomi Beckett, Senior Data Scientist at SparkBeyond, discusses the importantance of error analysis in predictive modeling and how to establish a method for determining when enough is enough.
Your Source for Machine Learning
Industry Perspectives
How Machine Learning and Data Science Can Advance Nutrition Research
In this special guest feature, Kyle Dardashti, CEO & Founder of Heali, discusses how machine learning and data science bring exciting potential to the world of personalized nutrition. Combining these two technologies together on a cohesive platform that supports continuous tracking would allow for real-time validated nutrition recommendations tailored to an individual’s lifestyle.
[READ MORE...]White Papers
insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads
This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.
Copyright © 2021