TensorFlow, MXNet, Caffe, H2O - Which Machine Learning Tool Is Best?

If you ask ten data scientists, "Which machine learning tool is best?" you'll likely get many different answers. But slightly more surprising is that if you ask any one data of those data scientists the same question, you'll likely still get many different answers. The reason turns out to be one of a couple of surprising things about the current state of machine learning that I discovered while delving into the question of what's the best tool for machine learning (or deep learning). Here's a quick preview of two key observations about what makes machine learning successful: Instead they usually keep three to five machine learning options in their tool box. Let's start with the first observation.