Published at: Sept. 27, 2017, 8:01 a.m. | Author: Dominik Krzemiński
Sometimes we don’t even realize how common machine learning (ML) is in our daily lives. Various “intelligent” algorithms help us for instance with finding the most important facts (Google), they suggest what movie to watch (Netflix), or influence our shopping decisions (Amazon). The biggest international companies quickly recognized the potential of machine learning and transferred it to business solutions. Nowadays not only big companies are able to use ML. Imagine — not so abstract — situation when a company tries to predict customer behavior based on some personal data. Just a few years ago, the best strategy to solve this problem would be to hire a good data science team. Nowadays, thanks to growing ML popularity, it is available even for small start-ups. Today, I would like to present you a demo of how to solve difficult business problems with ML. We will take advantage of mljar.com service and its R API. With just a few lines of code we will be able to achieve very good results.
Published at: Sept. 20, 2017, 10:09 a.m. | Author: Piotr Płoński
Hi! We have added R API for mljar - so you can run sklearn, xgboost, lightGBM, Keras, RGF from one R line :) Please check it on https://github.com/mljar/mljar-api-R