Machine Learning
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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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πŸ“Œ CLIP, LLaVA, and the Brain

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-06-19 | ⏱️ Read time: 10 min read

What neuroscience can teach us about the limitations of modern multimodal transformers
πŸ“Œ 3 Simple Statistical Methods for Outlier Detection

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 6 min read

If it works, keep it simple
πŸ“Œ Creating an Assistant with OpenAI Assistant API and Streamlit

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 7 min read

A step-by-step guide
πŸ“Œ Let’s Revisit Case-When in Different Libraries Including the New Player: Pandas

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 6 min read

How to create conditional columns with different tools.
πŸ“Œ AI Agent Capabilities Engineering

πŸ—‚ Category: CHATGPT

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 13 min read

Introducing a high-level capabilities engineering framework for AI Agents
πŸ“Œ Managing Pivot Table and Excel Charts with VBA

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 10 min read

Save precious hours by automating working with pivot tables and charts using VBA
πŸ“Œ Foundation Models in Graph & Geometric Deep Learning

πŸ—‚ Category:

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 28 min read

In this post, we argue that the era of Graph FMs has already begun and…
πŸ“Œ Learning Triton One Kernel at a Time: Matrix Multiplication

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-10-14 | ⏱️ Read time: 14 min read

Tiled GEMM, GPU memory, coalescing, and much more!
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πŸ“Œ Building A Successful Relationship With Stakeholders

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-10-14 | ⏱️ Read time: 12 min read

Show your value by moving beyond the technical
πŸ“Œ Why AI Still Can’t Replace Analysts: A Predictive Maintenance Example

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-10-14 | ⏱️ Read time: 7 min read

Learn about the limitations of AI in analytics through the example of bearing vibration data…
πŸ“Œ Human Won’t Replace Python

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-10-14 | ⏱️ Read time: 23 min read

Why vibe-coding is not a step up from β€œclassic” coding β€” and why it matters
πŸ“Œ Incorporate an LLM Chatbot into Your Web Application with OpenAI, Python, and Shiny

πŸ—‚ Category:

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 8 min read

Step-by-Step Integration of AI Chatbots into Shiny for Python Applications: From API Setup to User…
πŸ“Œ Nailing the Machine Learning Design Interview

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 9 min read

Tips and tricks for FAANG design interviews
πŸ“Œ How to Find and Solve Valuable Generative AI Use Cases

πŸ—‚ Category: PRODUCT MANAGEMENT

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 7 min read

80% of AI projects fail due to poor use cases or technical knowledge. Gen AI…
πŸ“Œ PySpark Explained: The explode and collect_list Functions

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 9 min read

Two useful functions to nest and un-nest data sets in PySpark
πŸ“Œ A Proposed Perfect Package Prototype for Python Projects

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 17 min read

How to structure your Python package projects to ensure efficiency, effectiveness and future-proofing
πŸ“Œ 8 Years in Data: What I Wish I’d Known from the Start

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 5 min read

And 5 key takeaways for aspiring data professionals
πŸ“Œ Get started with SQLite3 in Python Creating Tables & Fetching Rows

πŸ—‚ Category: SQL

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 12 min read

Learn to use SQLite – The most used DBMS in the world
πŸ“Œ Chart Wars – Stacked Bar Chart vs. Heatmap

πŸ—‚ Category: DATA VISUALIZATION

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 6 min read

The winner is obvious
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πŸ“Œ Statistically Confirm Your -Comparing Pandas and Polars with 1 Million Rows of Data

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 15 min read

Using the Independent samples t-test and Welch’s t-test to compare scores in benchmarking.