Machine Learning
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Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

Admin: @HusseinSheikho || @Hussein_Sheikho
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📌 Bayesian Thinking for People Who Hated Statistics

🗂 Category: DATA SCIENCE

🕒 Date: 2026-03-16 | ⏱️ Read time: 12 min read

You already think like a Bayesian. Your stats class just taught the formula before the…

#DataScience #AI #Python
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📌 Hallucinations in LLMs Are Not a Bug in the Data

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-03-16 | ⏱️ Read time: 10 min read

It’s a feature of the architecture

#DataScience #AI #Python
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📌 Follow the AI Footpaths

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-03-16 | ⏱️ Read time: 6 min read

Shadow AI and the desire paths of modern work

#DataScience #AI #Python
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📌 How to Build a Production-Ready Claude Code Skill

🗂 Category: AGENTIC AI

🕒 Date: 2026-03-16 | ⏱️ Read time: 11 min read

What I learned building and distributing my first Skill from scratch

#DataScience #AI #Python
📌 Introducing Gemini Embeddings 2 Preview

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-03-17 | ⏱️ Read time: 10 min read

One embedding model to rule them all

#DataScience #AI #Python
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📌 How a Neural Network Learned Its Own Fraud Rules: A Neuro-Symbolic AI Experiment

🗂 Category: DEEP LEARNING

🕒 Date: 2026-03-17 | ⏱️ Read time: 18 min read

Most neuro-symbolic systems inject rules written by humans. But what if a neural network could…

#DataScience #AI #Python
TOP RAG INTERVIEW.pdf
166 KB
🚀 𝐓𝐎𝐏 𝐑𝐀𝐆 𝐈𝐍𝐓𝐄𝐑𝐕𝐈𝐄𝐖 𝐐𝐔𝐄𝐒𝐓𝐈𝐎𝐍𝐒 𝐀𝐍𝐃 𝐀𝐍𝐒𝐖𝐄𝐑𝐒 ⁣⁣

🔹 Advanced #RAG engineering concepts⁣⁣
• Multi-stage retrieval pipelines⁣⁣
• Agentic RAG vs classical RAG⁣⁣
• Latency optimization⁣⁣
• Security risks in enterprise RAG systems⁣⁣
• Monitoring and debugging production RAG systems⁣⁣
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📄 𝐓𝐡𝐞 𝐏𝐃𝐅 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐬 𝟒𝟎 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐜𝐥𝐞𝐚𝐫 𝐞𝐱𝐩𝐥𝐚𝐧𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐛𝐨𝐭𝐡 𝐜𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐚𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦 𝐝𝐞𝐬𝐢𝐠𝐧 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠.⁣⁣
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https://t.me/CodeProgrammer
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Time Complexity of 10 Most Popular ML Algorithms Know What You're Waiting For 🧠

https://t.me/DataScienceM
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📌 How to Effectively Review Claude Code Output

🗂 Category: AGENTIC AI

🕒 Date: 2026-03-17 | ⏱️ Read time: 7 min read

Get more out of your coding agents by making reviewing more efficient

#DataScience #AI #Python
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📌 Self-Hosting Your First LLM

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-03-17 | ⏱️ Read time: 20 min read

Privacy. Cost. Customization. Everything you need to know—step by step.

#DataScience #AI #Python
CNN vs Vision Transformer — The Battle for Computer Vision 👁⚡️

Two architectures. One goal: identify the cat. But they see things differently:

🧠 CNN (Convolutional Neural Network)

· Scans the image with filters
· Detects local patterns first (edges → textures → shapes)
· Builds understanding layer by layer

🔄 Vision Transformer (ViT)

· Splits image into patches (like words in a sentence)
· Detects global patterns from the start
· Sees the whole picture using attention mechanisms

Same input. Same output. Different journey.

CNNs think locally and build up.
Transformers think globally from the get-go.

Which one wins? Depends on the task — but both are shaping the future of how machines see.

https://t.me/CodeProgrammer
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📌 Two-Stage Hurdle Models: Predicting Zero-Inflated Outcomes

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-03-18 | ⏱️ Read time: 20 min read

Why one model can’t do two jobs

#DataScience #AI #Python
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📌 The New Experience of Coding with AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-03-18 | ⏱️ Read time: 12 min read

The seduction of AI code assistants

#DataScience #AI #Python
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📌 Why You Should Stop Worrying About AI Taking Data Science Jobs

🗂 Category: DATA SCIENCE

🕒 Date: 2026-03-18 | ⏱️ Read time: 8 min read

It’s all just fearmongering

#DataScience #AI #Python
PhD Students - Do you need datasets for your research?

Here are 30 datasets for research from NexData.

Use discount code for 20% off: G5W924C3ZI

1. Korean Exam Question Dataset for AI Training

https://lnkd.in/d_paSwt7

2. Multilingual Grammar Correction Dataset

https://lnkd.in/dV43iqTp

3. High quality video caption dataset

https://lnkd.in/dY9kxkhx

4. 3D models and scenes datasets for AI and simulation

https://lnkd.in/dT-zscH4

5. Image editing datasets – object removal, addition & modification

https://lnkd.in/dd8iCGMS

6. QA dataset – visual & text reasoning

https://lnkd.in/dc3TNWFD

7. English instruction tuning dataset

https://lnkd.in/dTeTgd2M

8. Large scale vision language dataset for AI training

https://lnkd.in/dBJuxazN

9. News dataset

https://lnkd.in/dYBJe5gd

10. Global building photos dataset

https://lnkd.in/dVJsDXnC

11. Facial landmarks dataset

https://lnkd.in/dz_KGCS4

12. 3D Human Pose & Landmarks dataset

https://lnkd.in/dXE9ir8Z

13. 3D Hand Pose & Gesture Recognition dataset

https://lnkd.in/d_QdGGb9

14. 14. Driver monitoring dataset – dangerous, fatigue

https://lnkd.in/d6kF-9PW

15. Japanese handwriting OCR dataset

https://lnkd.in/dHnriqrH

16. American English Male voice TTS dataset

https://lnkd.in/dqyvg862

17. Riddles and brain teasers dataset

https://lnkd.in/dKBHY3DE

18. Chinese test questions text

https://lnkd.in/dQpUd8xC

19. Chinese medical question answering data

https://lnkd.in/dsbWUCpz

20. Multi-round interpersonal dialogues text data

https://lnkd.in/dQiUq_Jg

21. Human activity recognition dataset

https://lnkd.in/dHM52MfV

22. Facial expression recognition dataset

https://lnkd.in/dqQAfMau

23. Urban surveillance dataset

https://lnkd.in/dc2RCnTk

24. Human body segmentation dataset

https://lnkd.in/d6sSrDxS

25. Fashion segmentation – clothing & accessories

https://lnkd.in/dptNUTz8

26. Fight video dataset – action recognition

https://lnkd.in/dnY_m5hZ

27. Gesture recognition dataset

https://lnkd.in/dFVPivYg

28. Facial skin defects dataset

https://lnkd.in/dKCbUvU6

29. Smoke detection and behaviour recognition dataset

https://lnkd.in/ddGg56R4

30. Weight loss transformation video dataset

https://lnkd.in/dqqT4ed9

https://t.me/CodeProgrammer 👾
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📌 Beyond Prompt Caching: 5 More Things You Should Cache in RAG Pipelines

🗂 Category: AGENTIC AI

🕒 Date: 2026-03-19 | ⏱️ Read time: 13 min read

A practical guide to caching layers across the RAG pipeline, from query embeddings to full…

#DataScience #AI #Python
📌 Linear Regression Is Actually a Projection Problem, Part 1: The Geometric Intuition

🗂 Category: DATA SCIENCE

🕒 Date: 2026-03-19 | ⏱️ Read time: 14 min read

A visual guide to vectors and projections

#DataScience #AI #Python
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