My weekly newsletter is out 👇🏼

Open source: the QueryChat
New tutorials
Book: Mathematics of Machine Learning

https://ramikrispin.substack.com/p/the-querychat-project-mathematics

#python #rstats #ai

My weekly newsletter is out!

Open source: Pandas 3 release
New tutorials
New book: Introduction to Machine Learning Systems by Prof. Vijay Janapa Reddi

https://ramikrispin.substack.com/p/pandas-3-is-out-introduction-to-machine

#AI #Python #MachineLearning #opensource

My weekly newsletter is out 👇🏼

Project: SQLGlot
New tutorials
Book: Statistical Analysis with Python

https://ramikrispin.substack.com/p/statistical-analysis-with-python

#ai #datascience #python #sql

Setting Up a Memory for an AI Application 👇🏼

By default, LLMs don’t come with memory, and each conversion is independent of the previous one. So, how do you add memory to an AI application? Apparently, it is simpler than it sounds, and it takes less than 5 lines of code to add one to your AI application by injecting the previous conversion to the prompt.

Here is a step-by-step tutorial for how to add memory to a stateless AI app:

https://theaiops.substack.com/p/setting-up-a-memory-for-an-ai-application

#ai #python #datascience

We are honored to announce Dariia Mykhailyshyna as a Keynote Speaker for useR! 2026 in Warsaw!

A postdoctoral researcher at the Kyiv School of Economics and a recent PhD graduate from the University of Bologna, Dariia has been an avid R user for seven years. In July, she will join us to present a powerful and timely talk:
"R Under Sirens: Research, Students, and Community in Wartime Ukraine."

https://user2026.r-project.org/

#rstats

My weekly newsletter is out!

This week:
🔹 Open Source of the Week - The spopt project by Kyle Walker
🔹 New learning resources
🔹 Book of the week - Building Natural Language and LLM Pipelines by Laura Funderburk

https://ramikrispin.substack.com/p/building-natural-language-and-llm

#rstats #python #opensource #ai #llm

A Streamlit app with an interactive example:
piecewise-regression.streamlit.app

Automate Change Point Detection in Time Series 📈

Change points in trends matter—a lot. Get them wrong, and your forecast doesn’t stand a chance.

In my latest post for The Forecaster, I show how to automate trend change point detection using piecewise regression and grid search, with full examples in R and Python.

🔗 https://theforecaster.substack.com/p/automatic-trend-change-point-detection

#Rstats #Python #timeseries #forecasting #DataScience

My weekly newsletter is out!

https://ramikrispin.substack.com/p/issue-69-the-vibe-kanban-project

#AI #RStats #Python #MachineLearning #DataScience

My weekly newsletter is out:
https://ramikrispin.substack.com/p/issue-68-deep-learning-with-python

#datascience #ai #deeplearning

Looking to learn about forecasting in production? My new course, Designing Forecasting Pipelines for Production, is now live on DataCamp!

The course is free until January 8. More details 👇

https://ramikrispin.substack.com/p/new-course-designing-forecasting

#timeseries #forecast #MLOps #machineLearning #Python

Want to learn how to model change points in time series trend? Created a tutorial about modeling change points with Piecewise Regression:
https://medium.com/@rami.krispin/piecewise-regression-for-time-series-forecasting-8cf53154a3fa?sk=3c9125c49233529de6d9c4072912fae7

#dataScience #TimeSeries #forecasting #RStats #Python

Kicking off my new newsletter about #forecasting with an introduction to piecewise regression for modeling changes in the trend 👇🏼

https://theforecaster.substack.com/p/piecewise-regression-for-time-series

Code is available both in #Rstats and #Python

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My weekly newsletter is out!

This week's agenda:
🔹 Open Source of the Week - the Durbyn project by Resul Akay
🔹 New learning resources - Harvard’s R course, Django tutorial, SQL course, Databricks end-to-end project
🔹 Book of the week - DeepSeek in Practice by Andy P., Alex Strick van Linschoten, and Duarte O.Carmo.

♻️ Please share if you find it useful!
📌 Join 33k practitioners and subscribe to receive weekly updates.

https://ramikrispin.substack.com/p/issue-65-the-durbyn-project-deepseek

#rstats #python #sql #opensource #ai #llm

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My weekly newsletter is out!

This week’s agenda:
🔹 Open Source of the Week — The ripper Quarto extension by James Balamuta, Ph.D.
🔹 New learning resources — Data engineering with Databricks, Python tutorial, Claude Code tutorial, Python decorator
🔹 Book of the week — Time Series Forecasting Using Foundation Models by Marco Peixeiro

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Substack: https://ramikrispin.substack.com/p/issue-64-forecasting-with-foundation

#AI #LLM #OpenSource

Any plans for the Thanksgiving break 🦃 or coming weekend?

My LinkedIn Learning course — Data Pipeline Automation with GitHub Actions Using R and Python — is available for 𝐟𝐫𝐞𝐞 for a limited time.

The course is hands-on, and it covers the following topics:
✅ Introduction to GitHub Actions
✅ Setting up workflows and automation
✅ Building a data pipeline using external APIs

Enjoy!

https://www.linkedin.com/posts/rami-krispin_python-rstats-github-activity-7399443370856611840-7-VQ?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAtOwDsBZIC3sJSnivdI1ISUXm_8nd-oEf0

#DataScience #Data #Github #RStats #Python #GithubActions

My weekly newsletter is out!

This week’s agenda:
🔹 Open Source of the Week — The sim project
🔹 New learning resources 
🔹 Book of the week — Hands-On APIs for AI and Data Science by Ryan Day

♻️ Please share if you find it useful!
📌 Join 33k practitioners and subscribe to receive weekly updates.

Substack: https://ramikrispin.substack.com/p/issue-63-the-sim-project-hands-on
LinkedIn: https://www.linkedin.com/pulse/issue-63-sim-project-hands-on-apis-ai-data-science-new-rami-krispin-lye6c/
Medium: https://medium.com/p/82f390d7c92b

#AI #DataScience #LLM #Data #OpenSource

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