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Strategy
You have an idea that you need to be in the data game. But you don’t have any clue on where to start. What should I collect? What is important? How can I even use data to impact the bottom […]
Read MoreTraining
So you want to become a data scientist? Okay, but you have much to learn padowan. Barnes Analytics offers courses on everything that you need from basic computer programming skills, to advanced numerical optimization. Learn everything everything, become a master, […]
Read MoreApplications
Insights are great. But what you really want is action. Once you have a data science model created, you want to see it out in the wild. Then deploy your model with us. When you choose to deploy your model […]
Read MoreBayesian Panel Data Cigarette Tax Analysis
Cigarette Taxes TL;DR Raising the cigarette tax by one cent in every state will save us about $1 billion per year. In the grand scheme of health care costs, it isn’t that much money. So with this post, I wanted […]
Christmas Give Away
Guess what? I’m giving away an hour of data science coaching and a $50 gift card for Christmas this year. That’s right, ho ho ho! Merry Christmas! On every page on the website you will see a nice little opt […]
Why I am Offering Coaching Sessions
Why Coaching Usually I post a tutorial about a data science topic, sometimes I write a post about something a little bit more meta about data science like how to get started as a new comer, on occasion I’ll recommend […]
Logistic Regression in R
Logistic regression was like magic the first time that I saw it. I grasped the utility almost immediately, but then I was shown how to hang economic theory on top of logistic regression and my face melted! Then I learned […]
Bayesian Auto-Regressive Time Series Analysis in PYMC3
I have written a lot of blog posts on using PYMC3 to do bayesian analysis. And I have a few where I have even dealt with Time-Series datasets. To name a one, I have done one on time varying coefficients. […]
3 Books that I Recommend to Learn Machine Learning
Today, I’m going to take a simple approach to the blog post. I’m working on some other things so, I need to scale this one back. So I’m going to give you 3 books that I recommend to learn general […]
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 […]
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