Author: chm

Statistics for Machine Learning Crash Course. Get on top of the statistics used in machine learning in 7 Days. Statistics is a field of mathematics

[link to paper on arXiv] ## Breaking down the title Ask anyone, and they’ll say that machine learning has an interpretability problem. We know what goes

This post originally appeared on Heartbeat. Motivation The handoff of labeled data from domain experts to machine learning teams is a critical step in machine

When you are start in a new field, the best it’s to start with good company, friends or a good community that can answer your

In our previous article, we have discussed such technologies as blockchain and virtual/augmented/mixed reality in the context of development of online marketplaces. Let’s look at

This is an aggregation of various posts I published last year about overfitting and underfitting Overfitting and underfitting are two of the biggest challenges in

Yin and yang (is) zero and-or one. Explaining politics. And (human) Nature. The ‘deep’ ‘state’ in politics, is directly (and, also, indirectly) related to the

The Peltarion team just finished an exhilarating week at the 35th International Conference on Machine Learning (ICML). For those of you that attended, we hope

Many kaggle competitors use Xgboost model to train their data on and it has outperformed every other model. So,on what actually it’s based on ? Its