Death metal, machine learning, and algorithmic bias

AI and machine learning algorithms are becoming increasingly relevant in the technology we use and it’s important for everyone to understand the implications. There is a key difference in how machine learning algorithms are programmed compared to traditional algorithms. Instead of being logic-based, they are data-based. We’re going from software that is explicitly programmed (if … Continue reading Death metal, machine learning, and algorithmic bias

The value-alignment problem is already very real

Something we think a lot about at SharpestMinds is how to create an incentive structure that aligns our business goals with the goals of our users. This has led us to embrace income share agreements as a central part of our business model. The ethical implications of AI is something I also think a a … Continue reading The value-alignment problem is already very real

Web-scraping with Python and Scrapy

A common sentiment you'll hear from data scientists is that the majority of their day-to-day work is spent collecting and cleaning data.  This is a skill many beginner data scientists tend to neglect. It's much easier to grab an existing clean data-set and start building models instead of creating one from scratch. At SharpestMinds, we … Continue reading Web-scraping with Python and Scrapy