Predictive modeling: Linear Regression. Machine Learning vs Data Science
Linear regression is the most popular supervised learning technique or the most popular data science technique in general.
Here we would take a deeper dive on Linear Regression learnings.
Also, we would look at how Data Science has commonalities and differences from Machine Learning
Reducing the noise
Our mind cannot processes a ton of information at the same time very effectively to decide if a lot of it is redundant. We need good quality information or try to peel the layers of information we get when dealing with our work or relations, then infer something, then think again, then infer something better and then decide.
Normal Distribution
As per Central Limit Theorem, if you take a large enough data set - it tends to always follow normal distribution in statistical terms. Is this why we tend to use bell curve in appraisal systems?