![]() These techniques can crunch millions or even billions of variables to find patterns and solutions that human observers would never have a chance to notice. Users may not know how an algorithm arrives at its answers, but that’s part of what makes data science…data science. Operations research generally relies on the accumulation of expertise and intuition to create advanced systems, while data science puts its trust squarely in the data. ![]() Hang on tight as we break this down a little more in-depth.ĭata science and operations research are two career paths with a lot in common, but the most significant difference lies in their approaches to problem-solving. The problem with that – is the differences they do have – aren’t subtle. ![]() ![]() What is Data Science And Operations Research?Īs I said above, Data Science and Operations Research have much more in common than they have differences. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |