May 2, 2024

8 years ago I started my bachelor’s degree in Geography. Now I’m a Data Scientist; this is the story of why I’ve gone down this path, and why I think data science has a lot to learn from the humanities Matt Chapman · Follow Published in Towards Data Science · 9 min read · 7 hours ago — Image by Dário Gomes on Unsplash

The digital world can’t exist without the natural resources to run it. What are the costs of the tech we’re using to build and run AI? Stephanie Kirmer · Follow Published in Towards Data Science · 8 min read · 6 hours ago — Photo by ANGELA BENITO on Unsplash There’s a core concept in machine learning that I often tell laypeople about to help clarify the philosophy behind what I do. That concept is

A beginner-friendly introduction with Python code Shaw Talebi · Follow Published in Towards Data Science · 10 min read · 6 hours ago — This is the 3rd article in a larger series on Full Stack Data Science (FSDS). In the previous post, I introduced a 5-step project management framework for building machine learning (ML) solutions. While ML may bring to mind fancy algorithms and technologies, the quality of an ML solution is determined by

Top 3 lessons learned: the problem, the size, and the data Anna Via · Follow Published in Towards Data Science · 9 min read · 6 hours ago — Picture by Snapwire, on Pexels This blog post is an updated version of part of a conference talk I gave on GOTO Amsterdam last year. The talk is also available to watch online. As a Machine Learning Product Manager, I am fascinated by the intersection of