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.
Kyra Harrington
How to Define and Measure Your Training Data Quality
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.
10 Experts Give Reasons Why High-Quality Training Data is so Important
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?
What’s next? 17 Machine Learning Predictions for 2021
2021 Predictions: We asked a range of ML experts about what they believe will be the next big thing in AI and Machine Learning.
12 Women in Machine Learning to Watch
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.
5 Examples of AI You Didn’t Know You Used
AI is often framed as something that’ll change our future, but many people aren’t aware of quite the extent to which AI currently used in society and everyday life.
The Training Data Challenge: 5 AI Fails
From accidental Alexa purchasing to bias in recruitment, we have gathered 5 AI fails from the last few years.
