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Bayesian Time Varying Coefficients in PYMC3
Okay so today I want to talk about something really cool that you can do with time-series / panel data. That is, you can allow the coefficients in the model change over time. It is a really neat idea, but […]
Using LSTM networks in Keras to Predict Baby Name Popularity
So its time for a fun little announcement, my wife and I are having a baby. And we’re so excited! Having a baby presents a novel problem for every parent every time. And that is: “We’re going to have a […]
SKLearn in Production
Alright, I’m kind of in a time crunch this week because I took off for Labor Day weekend. As such I just want to write a quick little post so that you guys don’t think I’m slacking in my posting […]
Learning XOR with Only Linear Regression (Yeah it’s Possible)
Alright, so that title isn’t very clickbaity unless you are a real data nerd. Linear models do terrible at learning XOR. Simply because XOR is highly non-linear. It requires a non-linear model to learn it. And my model is non-linear […]
3 Reasons to Fall in Love With Bayesian Statistics
So for the past month or so, I have been writing a lot of posts about Bayesian Statistics.You might be wondering why I’ve spent so much time in the area. You might even suspect that you know the answer, but […]
5 Resources to Get you Started in Data Science
Data science is a huge and ever expanding field. It deals heavily with math, computers, statistics, and all sorts of other disciplines. Jumping into data science often feels overwhelming, because frankly, it is. I often hear questions similar to this […]
Monte Carlo Integration in Python
My last post was pretty intense, so I thought that I would drop back down to something a little bit simpler for this post, before I go off and start in on the March Madness stuff again. It turns out […]
Predicting March Madness Winners with Bayesian Statistics in PYMC3!
So in the last two blog posts, I talked about how to do some bayesian inference in the realm of some linear models. And that is all well and good, but we can have even more fun in a bayesian […]
Bayesian Logistic Regression in Python using PYMC3
In my last post I talked about bayesian linear regression. A fairly straightforward extension of bayesian linear regression is bayesian logistic regression. Actually, it is incredibly simple to do bayesian logistic regression. If you were following the last post that […]
Bayesian Poisson A/B Testing in PYMC3 on Python
This post is a direct response to the request made by @Zecca_Lehn on twitter (Yes I will write tutorials on your suggestions). What he wanted to know was how to do a Bayesian Poisson A/B tests. So for those of […]