Rami Krispin's Data Science Channel

For my Portuguese-speaking friends: statistical inference, explained in a 12-video playlist 🚀 Prof. Fernanda Maciel's Inferência Estatística playlist is presented in Portuguese. It starts with the core vocabulary of inference and moves into confidence intervals and hypothesis…

Issue 98 is out! This week’s agenda: 🔹 Open Source of the Week - AI-Lake by Thiago Egon Lange 🔹 New learning resources - Hermes Agent fundamentals, Pi Coding Agent, GraphRAG in Python, Codex for beginners, Graphify with Obsidian, visual Python course 🔹 Book of the week -…

Terraform Crash Course - Infrastructure as Code 🚀 This tutorial from NeuralNine provides a practical introduction to Terraform. It moves from installation and a minimal AWS example to combining AWS services, then shows smaller examples with GCP and Docker. 📽️:

This is a great summary about how to orchestrate AI applications with Graph and tools such as Claude Code 👇🏼 📽️:

Issue 99 is out! This week's agenda: 🔹 Open Source of the Week - Forge3D by Milos Popovic, PhD 🔹 New learning resources - Codex workflows, local model fine-tuning, context layers for AI agents, and Terraform 🔹 Book of the week - Transformers: The Definitive Guide by Nicole…

MiniMax-M3 - a ~428B multimodal model with ~23B active parameters 🚀 MiniMax released M3 with native text, image, and video support, a 1M-token context window, and local deployment options across several inference frameworks. The efficiency design is the interesting part. M3…