Rami Krispin's Data Science Channel

@ramikrispinds

Rami Krispin's Data Science Channel (English)

Are you a data science enthusiast looking to expand your knowledge and skills in the field? Look no further than Rami Krispin's Data Science Channel on Telegram! This channel, managed by data scientist Rami Krispin himself, is dedicated to providing valuable insights, resources, and discussions related to the world of data science. Rami Krispin is a renowned expert in the field, with years of experience and a passion for sharing his knowledge with others. Whether you are just starting out in data science or are a seasoned professional, this channel has something for everyone. From tutorials and case studies to discussions on the latest trends and technologies, Rami Krispin's Data Science Channel covers it all. Join today to connect with like-minded individuals, stay up-to-date on industry news, and take your data science skills to the next level!

Rami Krispin's Data Science Channel

21 Nov, 16:52

Multimodal AI

This short video by Shaw Talebi provides an introduction to Multimodal (Large) Language Models. This type of models combines text and video/audio models to create outputs. For example, voice -> text -> image/video.

https://www.youtube.com/watch?v=Ot2c5MKN_-w&t=346s

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Rami Krispin's Data Science Channel

20 Nov, 13:08

The supplyseer Library 👇🏼

The supplyseer is a new Python library for applied computational supply chain & logistics applications. This library, by Jako Rostami and Lambert Rutaganda , provides modeling solutions for supply chain and logistics challenges, from forecasting applications to inventory optimization.

Source code: https://github.com/supplyseer-ai/supplyseer/tree/develop

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Rami Krispin's Data Science Channel

19 Nov, 13:03

Happy Tuesday! ☀️

Edition 13 of the newsletter is out! 🚀

This week's agenda:
✅ Open Source of the Week - new projects: supplyseer, messy, scoutbaR, targetsboard, froggeR, and more
✅ Learning resources - NGINX tutorial, graph neural networks, visualize data lineage with Airflow, running Ollama on Kubernetes
✅ Book of the week - Deep Learning by Prof. John D.Kelleher

https://www.linkedin.com/pulse/new-open-source-projects-nginx-tutorial-running-ollama-rami-krispin-4ld3c

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Rami Krispin's Data Science Channel

18 Nov, 04:08

That’s a huge news for the Keras users community, I wonder how it will impact the future of this project.

https://developers.googleblog.com/en/farewell-and-thank-you-for-the-continued-partnership-francois-chollet/

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Rami Krispin's Data Science Channel

17 Nov, 23:34

This looks like an interesting webinar:
https://www.youtube.com/watch?v=_1eegWElgEM&ab_channel=CanonicalUbuntu

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Rami Krispin's Data Science Channel

17 Nov, 05:22

A short tutorial for setting a data lineage process with Airflow and Marquez by George Yates 👇🏼

📽️ https://www.youtube.com/watch?v=7cW-MCs0QpU

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Rami Krispin's Data Science Channel

16 Nov, 17:50

The weekend edition of my newsletter is dedicated to Bluesky data starter packs 👇🏼

https://www.linkedin.com/pulse/bluesky-data-starter-packs-rami-krispin-cyldc/

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Rami Krispin's Data Science Channel

16 Nov, 13:28

Google AI responds to a student...

Also, movie recommendation for the weekend - Terminator 2 😅

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Rami Krispin's Data Science Channel

15 Nov, 20:54

Quarto Python Crash Course 🚀

This Quarto crash course by Keith Galli focuses on Quarto core applications for Python 🐍. This includes:
✅ Quarto markdown features
✅ Styling
✅ Creating a HTML, PDF, and Docx documents
✅ Quarto dashboard
✅ Quarto slides

📽️ https://www.youtube.com/watch?v=_VKxTPWDhA4

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Rami Krispin's Data Science Channel

15 Nov, 02:32

Full NGINX Tutorial - Demo Project with Node.js, Docker

https://www.youtube.com/watch?v=q8OleYuqntY

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Rami Krispin's Data Science Channel

14 Nov, 14:19

Build and Deploy a RAG Chatbot 👇🏼

This two-hour tutorial by Ania Kubow and freeCodeCamp focuses on the steps of building and deploying a RAG chatbot using tools such as JavaScript, LangChain.js, Next.js, Vercel, and OpenAI.

https://youtu.be/d-VKYF4Zow0

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Rami Krispin's Data Science Channel

14 Nov, 01:23

A short tutorial for getting started with Polars 🐻‍❄️👇🏼
https://www.youtube.com/watch?v=gL_mGbwgSkE

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Rami Krispin's Data Science Channel

13 Nov, 16:47

Project of the Week - dlt 🚀

The dlt (data load tool) Python library is a relatively new project for data engineering applications from dltHub. The library provides a framework for data ingestion from one destination to another, for example, data ingestion from an API to a Postgres database on AWS. The library's main goal is to simplify the ELT (extract, load, transform) process.

Code: https://github.com/dlt-hub/dlt
Docs: https://dlthub.com/docs/intro

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Rami Krispin's Data Science Channel

12 Nov, 22:33

I love the improvements and the integration (I assume) of the Gemini model, and WebAssembly in the Google search engine to answer coding questions. So far, it works great with core Python 🐍 applications 👇🏼

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Rami Krispin's Data Science Channel

12 Nov, 12:34

This week in my newsletter:
✅ Open Source of the Week - the dlt project
✅ Learning resources - Hugging Face code generation with LLM, building RAG application with JS, insurance premium prediction
✅ Book of the week - Data Science at the Command Line by Jeroen Janssens

https://www.linkedin.com/pulse/dlt-project-data-science-command-line-rami-krispin-rac4c

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Rami Krispin's Data Science Channel

11 Nov, 18:20

Stanford CS234 - Reinforcement Learning 🚀

Stanford released a new course that focuses on reinforcement learning. Prof Emma Brunskill teaches this full-semester course, which provides an introduction to the field. It includes basics topics of reinforcement learning and as well advanced topics such as deep reinforcement learning. The course required proficency with Python, basic knowledge of linear algebra, probability, and machine learning.

https://www.youtube.com/playlist?list=PLoROMvodv4rN4wG6Nk6sNpTEbuOSosZdX

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Rami Krispin's Data Science Channel

11 Nov, 14:27

If you are using the Meta's Llama 3 model or want to get started, the Llama Recipes project is a great resource. This project, as the name implies, provides a set of examples and use cases for the Llama 3 models, and it includes to following categories:
✅ Quick start
✅ Use cases
✅ Integration with 3rd party tools
✅ Responsible AI
✅ Experimental

This project supports the latest LLama models - Llama 3.2 Vision and Llama 3.2 Text.

https://github.com/meta-llama/llama-recipes

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Rami Krispin's Data Science Channel

09 Nov, 15:36

Happy Saturday! ☀️

This week's agenda:
✅ Open Source of the Week - the Llama Recipes
✅ Learning resources - Reinforcement learning and probabilistic methods in combinatorics courses, getting started with Quarto dashboard
✅ Book of the week - Distributed Machine Learning Patterns by Yuan Tang

https://www.linkedin.com/pulse/llama-recipes-reinforcement-learning-probabilistic-methods-krispin-okuvc

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Rami Krispin's Data Science Channel

08 Nov, 18:26

Probabilistic Methods in Combinatorics 🚀

MIT released a new graduate-level course in statistics tought by Prof. Yufei Zhao. The course provides an introduction to probabilistic methods and its applications in combinatorics and theoretical computer science.

📽️ https://www.youtube.com/playlist?list=PLUl4u3cNGP61cYB5ymvFiEbIb-wWHfaqO

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Rami Krispin's Data Science Channel

08 Nov, 14:17

Quarto Dashboards 1: Hello, Dashboards! 🚀

Quarto Dashboards is one of my favorite frameworks for serverless dashboarding ❤️. It is language agnostic (R, Python, Julia, Observable) and easy to set and deploy (e.g., GitHub Pages). Here is an introductory tutorial by Mine Çetinkaya-Rundel:

📽️: https://www.youtube.com/watch?v=HW7QbqI4fH0

This is part one of a sequence of tutorials.

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