Stats to Systems: Statistical Thinking + Scalable ML
Ryan JacobsStats to Systems is where rigorous data analysis meets practical implementation. Join Ryan as he explores the intersection of statistical methodology, ML engineering, and systems architecture.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 15 | Founded | 2 years ago | Last Issue | 6 months ago |
| Active | |||||
Read this Newsletter
ryanalexanderjacobs.substack.comLatest Issues
Using Altair for PCA Graphing
I tried the library called Altair and I really like it.
I can plot interactive charts easily, but building some PCA lines was a little bit complicated.
You can use hex values for colors, and add a “tooltip”, which is basically a legend....
A quick column name fix with Regex for reading YFinance data with Polars
So, recently I encountered this problem when reading data with Polars:
There’s this complicated version where, when sub-setting data, I would need to write the parenthesis, actual column name, and the symbol. And if you’re wondering or con...
12 - Option Chains & Black-Scholes Model using Pydantic Models and SchwabAPI data - Part 1
Hello again,
In this Substack, we will talk about the Black-Scholes model with Python examples included.
We will use the Pydantic library for clean modeling.
The Black-Scholes, or Black-Scholes-Merton (BSM) model is a concept in financia...
11 - Grounding & RAG
In our last Substack, we talked about how we can avoid or fix the problem of hallucination.
We talked about the process of grounding, which is providing context with more up-to-date data sources to improve accuracy of a model.
It’ll be...
10 - Hallucination
Hallucination Problem
Large Language Models (LLMs) generate text based on patterns they see in their training data. And they don’t understand the prompt, they just predict the next word in a sequence.
The training data might not be up...
Key Facts
Audience Metrics
Subscribers, engagement, traffic and sponsorship for Stats to Systems: Statistical Thinking + Scalable ML.
| Subscribers | Engagement | 69 | Monthly Web Visits | ||
|---|---|---|---|---|---|
| Accepts Sponsors | Estimated Cost per Ad | ||||
Explore More
Authors
The writers behind this newsletter.
I am a math (stats) and data science student at UNC Charlotte. I love architecture, building pipelines, and building ML models. I also love statistics in general and try to apply it everyday in my life.
Frequently Asked Questions
How can I access the email archive for this newsletter?
You can find recent issues that have been published by this newsletter on Reletter by scrolling up to where it says Latest Issues. Tap on the link for any of the most recent emails or hit More Issues to see older ones.
How many subscribers does this newsletter have?
To see how many people subscribe to this newsletter, simply upgrade your Reletter account. We provide readership numbers and lots of other stats for this newsletter so you can decide if it's worth reaching out to.
How can I advertise in this newsletter?
Newsletter advertising can be extremely effective when it's done right. Before you pitch this newsletter as a potential sponsor or partner, make sure that you've done your research and checked its newsletter stats with Reletter.
Then, personalize one of our winning pitching templates and send it to the right person using the contact info provided.
How much does it cost to sponsor a publication like this newsletter?
Newsletter ad rates (or CPM) vary depending on many factors, including industry, number of subscribers, open rate, ad placement and more.
To find out how much an ad will cost, contact this newsletter using the contact information provided and ask for a copy of their media kit.
How can I find newsletters related to this newsletter?
Scroll up to where it says Related Newsletters to see other publications like this newsletter. You can also search our email newsletter directory to discover other newsletters that cover the topics you're interested in.
How do I contact this newsletter?
Reletter provides this newsletter's website URL above, where you will often find their contact information. We also provide links to associated social media accounts and pitching templates so you can reach out fast.