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. 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. Turns out that at any point in time many organizations have adopted a range of several machine learning tools.
Aug-12-2017, 20:51:17 GMT