Experts Explain: How to Think About Human-Centered Machine Learning
We asked experts working in the field about their thoughts on the role of humans in Machine Learning, and humans and the future of ML.
We asked experts working in the field about their thoughts on the role of humans in Machine Learning, and humans and the future of ML.
How do you define training data quality and measure it? How do you improve it? We go into defining, measuring, and reviewing your training data quality.
We reached out to various ML experts, asking them the questions: Why is high-quality training data so important? Why do so many projects fail in ML?
2021 Predictions: We asked a range of ML experts about what they believe will be the next big thing in AI and Machine Learning.
Here’s a celebratory list of some of the women we look up to and have spearheaded development in AI and Machine Learning in 2020.