When you learn more about machine learning, you must hear people talking about high bias, high variance or something like that. What do they mean by ‘high bias’ or ‘high variance’?

There are two main tasks in machine learning: regression and classification. Today we will talk about regression, more specifically, linear regression. Linear regression is simple and easy to understand. Perhaps it is the first algorithm that most people learn in machine learning. So let’s go!

Statistics is one of the most important skills for data scientists. There are two main branches: descriptive statistics tells us the statistics about data like mean, mode and standard deviation, which you’ve learned in high school. inferential statistics, on the other hand, uses a random dataset sampled from the population to make inferences about the population. In this post, we focus on descriptive statistics and other basic concepts in statistics.