Tag: Linear

Each of those five books I think are really great, for their very own reasons. Elements of Statistical Learning for example is what got me excited about data science in the first place, back when I was an undergraduate student. In fact, all five books over the years helped me learn so much...

The Bayesian vs Frequentist debate is one of those academic arguments that I find more interesting to watch than engage in. Rather than enthusiastically jump in on one side, I think it’s more productive to learn both methods of statistical inference and apply them where app...

In the previous blog, we learned about the advent of mobile robotics and how it is currently rocking the entire automotive industry. But whatever happens inside the brain of a robot is definitely not magic! No magic literally! Many of us used to dread learning Mathematics. I remember my si...

You’ve had a variety of roles from when you first joined Segal up to this point. Do tell us: how did you end up in MEL (monitoring and evaluation), safeguarding, and program learning? Thank you, Sylvia. I’ll talk about how I ended up at Segal. There was a brief period of time when I tho...

This dataset contains information about 506 census tracts of Boston from the 1970 census. As an aspiring data scientist, understanding how to model data like this is of great importance to me. Today I will use the Boston housing data by Harrison and Rubinfeld (1979) and explore which factors affect ...