The A – Z of Supervised Learning, Use Cases, and Disadvantages
Analyzing and classifying data is often tedious work for many data scientists when there are massive amounts of data. It even consumes most of their time and decreases their efficiency. Data scientists need to be smart, use cutting edge technologies, take calculated risks, and find out... Read more
An Introduction to Active Learning
The current utility and accessibility of machine learning is in part due to the exponential increase in the availability of data over time. While data is abundant, labels that are required for specific supervised machine learning tasks can be difficult to obtain. At ODSC West in... Read more