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What data best describes a location? Is it the age of the people living nearby, proximity to a train station, or maybe it's how many trendy cafes are within a five minute walk?

With companies like Cambridge Analytica in the news, people are understandably worried about how companies store and handle data about them. Sensitive and personally identifying data is needed by companies to run their services however, and companies may need to process it on many different systems and environments.

Data Scientist. Two words, when combined, and placed under one's name on a resume or LinkedIn profile, demonstrably lead to a deluge of job opportunities, random connection requests, and attention from headhunters.

Interpretability matters! Machine learning models have been getting more accurate, but also more complex over the past few years. However in many settings data scientists are often tethered to linear models or decision trees because they are easy (relatively!) to explain.

Automatic Machine Learning (Auto-ML) is the toolset that enables people who aren't specialists or engineers to solve problems with machine learning. And it's on the rise.

Here's our roundup of AI and ML in the news we found wanted to share and offer our take.