Machine Learning
39.4K subscribers
4.35K photos
40 videos
50 files
1.42K links
Real Machine Learning β€” simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

Admin: @HusseinSheikho || @Hussein_Sheikho
Download Telegram
πŸ“Œ Building My Own Personal AI Assistant: A Chronicle, Part 2

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2026-04-16 | ⏱️ Read time: 9 min read

Building a personal AI assistant is rarely a single, monolithic effort. In this piece, I…

#DataScience #AI #Python
πŸ“Œ memweave: Zero-Infra AI Agent Memory with Markdown and SQLiteβ€Šβ€”β€ŠNo Vector Database Required

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2026-04-16 | ⏱️ Read time: 17 min read

The problem with agent memory today

#DataScience #AI #Python
❀1
πŸ“Œ Introduction to Deep Evidential Regression for Uncertainty Quantification

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2026-04-16 | ⏱️ Read time: 12 min read

Machine learning models can be confident even when they shouldn’t be. This article introduces Deep…

#DataScience #AI #Python
πŸš€ Thrilled to announce a major milestone in our collective upskilling journey! 🌟

I am incredibly excited to share a curated ecosystem of high-impact resources focused on Machine Learning and Artificial Intelligence. By consolidating a comprehensive library of PDFsβ€”from foundational onboarding to advanced strategic insightsβ€”into a single, unified repository, we are effectively eliminating search friction and accelerating our learning velocity. πŸ“šβœ¨

This initiative represents a powerful opportunity to align our technical growth with future-ready priorities, ensuring we are always ahead of the curve. πŸ’‘πŸ”—

⛓️ Unlock your potential here:
https://github.com/Ramakm/AI-ML-Book-References

#MachineLearning #AI #ContinuousLearning #GrowthMindset #TechCommunity #OpenSource
❀5
πŸ“Œ How to Maximize Claude Cowork

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-04-15 | ⏱️ Read time: 9 min read

Learn how to get the most out of Claude Cowork

#DataScience #AI #Python
❀1
πŸ“Œ Beyond Prompting: Using Agent Skills in Data Science

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2026-04-17 | ⏱️ Read time: 7 min read

How I turned my eight-year weekly visualization habit into a reusable AI workflow

#DataScience #AI #Python
❀1
πŸ“Œ You Don’t Need Many Labels to Learn

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-04-17 | ⏱️ Read time: 10 min read

What if an unsupervised model could become a strong classifier with only a handful of…

#DataScience #AI #Python
πŸ“Œ 6 Things I Learned Building LLMs From Scratch That No Tutorial Teaches You

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-04-17 | ⏱️ Read time: 11 min read

From rank-stabilized scaling to quantization stability: A statistical and architectural deep dive into the optimizations…

#DataScience #AI #Python
πŸ“Œ A Practical Guide to Memory for Autonomous LLM Agents

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2026-04-17 | ⏱️ Read time: 14 min read

Architectures, pitfalls, and patterns that work

#DataScience #AI #Python
πŸ“Œ AI Agents Need Their Own Desk, and Git Worktrees Give Them One

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2026-04-18 | ⏱️ Read time: 20 min read

Git worktrees, parallel agentic coding sessions, and the setup tax you should be aware of

#DataScience #AI #Python
πŸ“Œ How to Learn Python for Data Science Fast in 2026 (Without Wasting Time)

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2026-04-18 | ⏱️ Read time: 8 min read

What I wish I did at the beginning of my journey

#DataScience #AI #Python
❀2
πŸ“Œ What It Actually Takes to Run Code on 200M€ Supercomputer

πŸ—‚ Category: DISTRIBUTED COMPUTING

πŸ•’ Date: 2026-04-16 | ⏱️ Read time: 11 min read

Inside MareNostrum V: SLURM schedulers, fat-tree topologies, and scaling pipelines across 8,000 nodes in a…

#DataScience #AI #Python
❀3
πŸ“Œ Your RAG System Retrieves the Right Data β€” But Still Produces Wrong Answers. Here’s Why (and How to Fix It).

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-04-18 | ⏱️ Read time: 17 min read

Your RAG system is retrieving the right documents with perfect scores β€” yet it still…

#DataScience #AI #Python
❀1
πŸ“Œ Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval

πŸ—‚ Category: LARGE LANGUAGE MODEL

πŸ•’ Date: 2026-04-19 | ⏱️ Read time: 14 min read

Open source. 5-minute setup. Vector RAG done rightβ€”try it yourself.

#DataScience #AI #Python
πŸ“Œ Dreaming in Cubes

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2026-04-19 | ⏱️ Read time: 10 min read

Generating Minecraft Worlds with Vector Quantized Variational Autoencoders (VQ-VAE) and Transformers

#DataScience #AI #Python
πŸ“Œ KV Cache Is Eating Your VRAM. Here’s How Google Fixed It With TurboQuant.

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-04-19 | ⏱️ Read time: 11 min read

Explore the end-to-end pipeline of TurboQuant, a novel KV cache quantization framework. This overview breaks…

#DataScience #AI #Python
πŸ“Œ What Does the p-value Even Mean?

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-04-20 | ⏱️ Read time: 7 min read

And what does it tell us?

#DataScience #AI #Python
πŸ“Œ Context Payload Optimization for ICL-Based Tabular Foundation Models

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2026-04-20 | ⏱️ Read time: 16 min read

Conceptual overview and practical guidance

#DataScience #AI #Python
πŸ“Œ The LLM Gamble

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2026-04-20 | ⏱️ Read time: 8 min read

Why it tickles your brain to use an LLM, and what that means for the…

#DataScience #AI #Python
This bot will help you get a course that's available for free for a limited time so you can register before others.

Benefit from it
t.iss.one/UdemySybot