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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๐Ÿ“Œ Comparing Explicit Measures to Calculation Groups in Tabular Models

๐Ÿ—‚ Category: DATA MODELING

๐Ÿ•’ Date: 2026-04-27 | โฑ๏ธ Read time: 6 min read

With the advent of UDFs and their combination with calculation groups, I see a lotโ€ฆ

#DataScience #AI #Python
๐Ÿ“Œ A Career in Data Is Not Always a Straight Line, and Thatโ€™s Okay

๐Ÿ—‚ Category: AUTHOR SPOTLIGHTS

๐Ÿ•’ Date: 2026-04-27 | โฑ๏ธ Read time: 9 min read

Sabrine Bendimerad on why flexibility is a crucial data science skill, the risks of outsourcingโ€ฆ

#DataScience #AI #Python
๐Ÿ“Œ The Next Frontier of AI in Production Is Chaos Engineering

๐Ÿ—‚ Category: ARTIFICIAL INTELLIGENCE

๐Ÿ•’ Date: 2026-04-28 | โฑ๏ธ Read time: 18 min read

Blast-radius control tells you how much to break. Intent tells you what breaking it willโ€ฆ

#DataScience #AI #Python
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๐Ÿ“Œ PyTorch NaNs Are Silent Killers โ€” So I Built a 3ms Hook to Catch Them at the Exact Layer

๐Ÿ—‚ Category: DEEP LEARNING

๐Ÿ•’ Date: 2026-04-28 | โฑ๏ธ Read time: 11 min read

NaNs donโ€™t crash your training โ€” they quietly destroy it. After losing hours to aโ€ฆ

#DataScience #AI #Python
๐Ÿ“Œ Let the AI Do the Experimenting

๐Ÿ—‚ Category: AGENTIC AI

๐Ÿ•’ Date: 2026-04-28 | โฑ๏ธ Read time: 14 min read

Using autoresearch to optimise marketing campaigns under budget constraints

#DataScience #AI #Python
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๐Ÿ“Œ Correlation Doesnโ€™t Mean Causation! But What Does It Mean?

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2026-04-28 | โฑ๏ธ Read time: 6 min read

What does correlation tells us?

#DataScience #AI #Python
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๐Ÿ“Œ Ensembles of Ensembles of Ensembles: A Guide to Stacking

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2026-04-29 | โฑ๏ธ Read time: 9 min read

The best machine learning model is not one model

#DataScience #AI #Python
๐Ÿ“Œ Agentic AI: How to Save on Tokens

๐Ÿ—‚ Category: AGENTIC AI

๐Ÿ•’ Date: 2026-04-29 | โฑ๏ธ Read time: 26 min read

Caching, lazy-loading, routing, compaction, and more

#DataScience #AI #Python
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๐Ÿ“Œ System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2026-04-29 | โฑ๏ธ Read time: 17 min read

A deep dive into how Apache Flink works, why it exists, and learning it whileโ€ฆ

#DataScience #AI #Python
๐Ÿ“Œ 4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers

๐Ÿ—‚ Category: DATA ENGINEERING

๐Ÿ•’ Date: 2026-04-29 | โฑ๏ธ Read time: 10 min read

How we replaced Python pipelines with dlt, dbt, and Trino โ€” and cut delivery timeโ€ฆ

#DataScience #AI #Python
๐Ÿ“Œ A Gentle Introduction to Stochastic Programming

๐Ÿ—‚ Category: MATHEMATICS

๐Ÿ•’ Date: 2026-04-30 | โฑ๏ธ Read time: 15 min read

How to make decisions when your spreadsheet is lying about the future

#DataScience #AI #Python
๐Ÿ“Œ Proxy-Pointer RAG: Multimodal Answers Without Multimodal Embeddings

๐Ÿ—‚ Category: LARGE LANGUAGE MODEL

๐Ÿ•’ Date: 2026-04-30 | โฑ๏ธ Read time: 15 min read

Structure is all you need

#DataScience #AI #Python
๐Ÿ“Œ How to Study the Monotonicity and Stability of Variables in a Scoring Model using Python

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2026-04-30 | โฑ๏ธ Read time: 10 min read

How can you validate that your variables tell a consistent risk?

#DataScience #AI #Python
๐Ÿ“Œ Why AI Engineers Are Moving Beyond LangChain to Native Agent Architectures

๐Ÿ—‚ Category: AGENTIC AI

๐Ÿ•’ Date: 2026-04-30 | โฑ๏ธ Read time: 8 min read

Frameworks accelerated the first wave of LLM apps, but production demands a different architecture.

#DataScience #AI #Python
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๐Ÿ“Œ How to Get Hired in the AI Era

๐Ÿ—‚ Category: CAREER ADVICE

๐Ÿ•’ Date: 2026-05-01 | โฑ๏ธ Read time: 7 min read

What people actually look for when hiring juniors that stand out.

#DataScience #AI #Python
๐Ÿ“Œ Churn Without Fragmentation: How a Party-Label Bug Reversed My Headline Finding

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2026-05-01 | โฑ๏ธ Read time: 11 min read

A data quality case study from English local elections on categorical normalisation, metric validation, andโ€ฆ

#DataScience #AI #Python
๐Ÿ“Œ Ghost: A Database for Our Times?

๐Ÿ—‚ Category: AGENTIC AI

๐Ÿ•’ Date: 2026-05-01 | โฑ๏ธ Read time: 12 min read

The first database built for AI Agents

#DataScience #AI #Python