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Emily Webber of AWS on Pretraining Large Language Models
As newer fields emerge within data science and the research is still hard to grasp, sometimes it’s best to talk…
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More notebooks for Think Stats
More notebooks for Think Stats As I mentioned in the previous post, I am getting ready to teach Data Science in…
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Why hierarchical models are awesome, tricky, and Bayesian
Thomas originally posted this article here at http://twiecki.github.io Hierarchical models are underappreciated. Hierarchies exist in many data sets and modeling them appropriately…
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Third batch of notebooks for Think Stats
As I mentioned in the previous post and the one before that, I am getting ready to teach Data Science in the spring,…
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Descriptive Analysis of MLST Data for MRSA
During one of my summers, I had the opportunity to conduct some research on the prevalence of methicillin-resistant Staphylococcus aureus (MRSA) in…
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Last batch of notebooks for Think Stats
Getting ready to teach Data Science in the spring, I am going back through Think Stats and updating the Jupyter notebooks. Each chapter…
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2017 Data Science in Review, Topic Modeling
This blogpost is about topic modeling using data from this blog, zambiatek.com. From this, combined with the most visited articles of…
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Mine Like Amazon with Market Basket Analysis
Pattern mining is an incredibly simple but powerful technique for discovering cooccurrences in large datasets. The most common approach to…
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Building a Microservice for Twitter Real-Time Data Collection and Sentiment Analysis.
First of all, I would like to point out that the skill of building MVP and microservices for a data…
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Tips for Linear Regression Diagnostics
I like to call linear regression the data scientist’s “workhorse.” It may not be sexy, but it’s a tried and…
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