The Ultimate Toolbox Of ML Startups

Setting up a good tool stack for your Machine Learning team is important to work efficiently and be able to focus on delivering results. If you work at a startup you know that setting up an environment that can grow with your team, needs of the users and rapidly evolving ML landscape is especially important. We wondered: "What are the best tools, libraries and frameworks that ML startups use?" to tackle this challenge. And to answer that question we asked 41 Machine Learning startups from all over the world. Read on to figure out what will work for your machine learning team.