Machine Learning
@DataScienceM
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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Machine Learning
39.5K subscribers
Machine Learning
๐Ÿ“Œ Bayesian Thinking for People Who Hated Statistics

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2026-03-16 | โฑ๏ธ Read time: 12 min read

You already think like a Bayesian. Your stats class just taught the formula before theโ€ฆ

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Machine Learning
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Machine Learning
๐Ÿ“Œ Hallucinations in LLMs Are Not a Bug in the Data

๐Ÿ—‚ Category: LARGE LANGUAGE MODELS

๐Ÿ•’ Date: 2026-03-16 | โฑ๏ธ Read time: 10 min read

Itโ€™s a feature of the architecture

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๐Ÿ“Œ Follow the AI Footpaths

๐Ÿ—‚ Category: ARTIFICIAL INTELLIGENCE

๐Ÿ•’ Date: 2026-03-16 | โฑ๏ธ Read time: 6 min read

Shadow AI and the desire paths of modern work

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๐Ÿ“Œ How to Build a Production-Ready Claude Code Skill

๐Ÿ—‚ Category: AGENTIC AI

๐Ÿ•’ Date: 2026-03-16 | โฑ๏ธ Read time: 11 min read

What I learned building and distributing my first Skill from scratch

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๐Ÿ“Œ Introducing Gemini Embeddings 2 Preview

๐Ÿ—‚ Category: LARGE LANGUAGE MODELS

๐Ÿ•’ Date: 2026-03-17 | โฑ๏ธ Read time: 10 min read

One embedding model to rule them all

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๐Ÿ“Œ How a Neural Network Learned Its Own Fraud Rules: A Neuro-Symbolic AI Experiment

๐Ÿ—‚ Category: DEEP LEARNING

๐Ÿ•’ Date: 2026-03-17 | โฑ๏ธ Read time: 18 min read

Most neuro-symbolic systems inject rules written by humans. But what if a neural network couldโ€ฆ

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TOP RAG INTERVIEW.pdf
166 KB
๐Ÿš€ ๐“๐Ž๐ ๐‘๐€๐† ๐ˆ๐๐“๐„๐‘๐•๐ˆ๐„๐– ๐๐”๐„๐’๐“๐ˆ๐Ž๐๐’ ๐€๐๐ƒ ๐€๐๐’๐–๐„๐‘๐’ โฃโฃ

๐Ÿ”น Advanced #RAG engineering conceptsโฃโฃ
โ€ข Multi-stage retrieval pipelinesโฃโฃ
โ€ข Agentic RAG vs classical RAGโฃโฃ
โ€ข Latency optimizationโฃโฃ
โ€ข Security risks in enterprise RAG systemsโฃโฃ
โ€ข Monitoring and debugging production RAG systemsโฃโฃ
โฃโฃ
๐Ÿ“„ ๐“๐ก๐ž ๐๐ƒ๐… ๐œ๐จ๐ง๐ญ๐š๐ข๐ง๐ฌ ๐Ÿ’๐ŸŽ ๐ฌ๐ญ๐ซ๐ฎ๐œ๐ญ๐ฎ๐ซ๐ž๐ ๐ช๐ฎ๐ž๐ฌ๐ญ๐ข๐จ๐ง๐ฌ ๐ฐ๐ข๐ญ๐ก ๐œ๐ฅ๐ž๐š๐ซ ๐ž๐ฑ๐ฉ๐ฅ๐š๐ง๐š๐ญ๐ข๐จ๐ง๐ฌ ๐ญ๐จ ๐ก๐ž๐ฅ๐ฉ ๐ฒ๐จ๐ฎ ๐ฎ๐ง๐๐ž๐ซ๐ฌ๐ญ๐š๐ง๐ ๐›๐จ๐ญ๐ก ๐œ๐จ๐ง๐œ๐ž๐ฉ๐ญ๐ฌ ๐š๐ง๐ ๐ฌ๐ฒ๐ฌ๐ญ๐ž๐ฆ ๐๐ž๐ฌ๐ข๐ ๐ง ๐ญ๐ก๐ข๐ง๐ค๐ข๐ง๐ .โฃโฃ
โฃโฃ
https://t.me/CodeProgrammer
โค2
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Machine Learning
Time Complexity of 10 Most Popular ML Algorithms Know What You're Waiting For โณ๐Ÿง 

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Machine Learning
๐Ÿ“Œ How to Effectively Review Claude Code Output

๐Ÿ—‚ Category: AGENTIC AI

๐Ÿ•’ Date: 2026-03-17 | โฑ๏ธ Read time: 7 min read

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

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โค2
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๐Ÿ“Œ Self-Hosting Your First LLM

๐Ÿ—‚ Category: LARGE LANGUAGE MODELS

๐Ÿ•’ Date: 2026-03-17 | โฑ๏ธ Read time: 20 min read

Privacy. Cost. Customization. Everything you need to knowโ€”step by step.

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CNN vs Vision Transformer โ€” The Battle for Computer Vision ๐Ÿ‘โšก๏ธ

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

๐Ÿง  CNN (Convolutional Neural Network)

ยท Scans the image with filters
ยท Detects local patterns first (edges โ†’ textures โ†’ shapes)
ยท Builds understanding layer by layer

๐Ÿ”„ Vision Transformer (ViT)

ยท Splits image into patches (like words in a sentence)
ยท Detects global patterns from the start
ยท 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 โ€” but both are shaping the future of how machines see.

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โค2
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Machine Learning
๐Ÿ“Œ Two-Stage Hurdle Models: Predicting Zero-Inflated Outcomes

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2026-03-18 | โฑ๏ธ Read time: 20 min read

Why one model canโ€™t do two jobs

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Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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Machine Learning
๐Ÿ“Œ The New Experience of Coding with AI

๐Ÿ—‚ Category: ARTIFICIAL INTELLIGENCE

๐Ÿ•’ Date: 2026-03-18 | โฑ๏ธ Read time: 12 min read

The seduction of AI code assistants

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๐Ÿ“Œ Why You Should Stop Worrying About AI Taking Data Science Jobs

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2026-03-18 | โฑ๏ธ Read time: 8 min read

Itโ€™s all just fearmongering

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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 โ€“ object removal, addition & modification

https://lnkd.in/dd8iCGMS

6. QA dataset โ€“ 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 โ€“ 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 โ€“ clothing & accessories

https://lnkd.in/dptNUTz8

26. Fight video dataset โ€“ 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 ๐Ÿ‘พ
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Machine Learning
๐Ÿ“Œ Beyond Prompt Caching: 5 More Things You Should Cache in RAG Pipelines

๐Ÿ—‚ Category: AGENTIC AI

๐Ÿ•’ Date: 2026-03-19 | โฑ๏ธ Read time: 13 min read

A practical guide to caching layers across the RAG pipeline, from query embeddings to fullโ€ฆ

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๐Ÿ“Œ Linear Regression Is Actually a Projection Problem, Part 1: The Geometric Intuition

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2026-03-19 | โฑ๏ธ Read time: 14 min read

A visual guide to vectors and projections

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๐Ÿ“Œ Vibe Coding with AI: Best Practices for Human-AI Collaboration in Software Development

๐Ÿ—‚ Category: AGENTIC AI

๐Ÿ•’ Date: 2026-03-19 | โฑ๏ธ Read time: 16 min read

Accelerate coding with AI while staying in control and building reliable, production-ready software.

#DataScience #AI #Python
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๐Ÿ“Œ The Basics of Vibe Engineering

๐Ÿ—‚ Category: AGENTIC AI

๐Ÿ•’ Date: 2026-03-19 | โฑ๏ธ Read time: 14 min read

Building products without the coding part

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