E-guide: Machine learning biases, predictive analytics and big data
AI holds massive potential for good, but it also amplifies negative outcomes if data scientists don't recognize big data biases and correct them in machine learning data sets.
It’s also key to understand the constraints of both big data and predictive analytics in order to extract maximum business value from the projects that combine these two disciplines.
That’s why this expert guide explores how:
- AI systems amplify biases and how to correct them
- What’s missing from machine learning data sets creates bias
- Big data and predictive analytics are different
- Big data creates unique challenges and insights on how to develop a smart analytics strategy