Machine Learning – Telegram
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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📌 Advanced Prompt Engineering for Data Science Projects

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-19 | ⏱️ Read time: 11 min read

Part 2: Prompt Engineering for Features, Modeling, and Evaluation
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📌 Water Cooler Small Talk, Ep 8: Should ChatGPT Be Blocked at Work?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-19 | ⏱️ Read time: 9 min read

Water cooler small talk is a special kind of small talk, typically observed in office…
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📌 Can LangExtract Turn Messy Clinical Notes into Structured Data?

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-18 | ⏱️ Read time: 7 min read

Turning raw clinical notes into structured entities with LLMs.
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📌 Modular Arithmetic in Data Science

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-18 | ⏱️ Read time: 10 min read

Modular arithmetic is a mathematical system where numbers cycle back to the beginning after reaching…
📌 Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-09-06 | ⏱️ Read time: 10 min read

A guide to building modular workflows for structured intelligence
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📌 Maximizing AI/ML Model Performance with PyTorch Compilation

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-18 | ⏱️ Read time: 31 min read

Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one of…
📌 How to Correctly Apply Limits on the Result in DAX (and SQL)

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-18 | ⏱️ Read time: 8 min read

What if the output of a measure mustn’t be above a specific limit? How can…
1
📌 How to Create Powerful LLM Applications with Context Engineering

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-18 | ⏱️ Read time: 7 min read

Improve your LLM by optimizing its context
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📌 LangGraph 101: Let’s Build A Deep Research Agent

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-14 | ⏱️ Read time: 32 min read

Learn LangGraph fundamentals from Google’s open-source full-stack implementation
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📌 What Does “Following Best Practices” Mean in the Age of AI?

🗂 Category: THE VARIABLE

🕒 Date: 2025-08-14 | ⏱️ Read time: 3 min read

How data and ML practitioners should navigate a rapidly changing landscape
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📌 “My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2025-08-14 | ⏱️ Read time: 8 min read

Claudia Ng reflects on real-world ML lessons, mentoring newcomers, and her journey from corporate ML…
📌 How to Use LLMs for Powerful Automatic Evaluations

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-13 | ⏱️ Read time: 7 min read

A beginner-friendly introduction to LLM-as-a-Judge
📌 Data Mesh Diaries: Realities from Early Adopters

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-08-13 | ⏱️ Read time: 7 min read

Early-adopter realities gathered from real data mesh implementations
📌 Tips for Setting Expectations in AI Projects

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-13 | ⏱️ Read time: 8 min read

If you want your AI project to succeed, mastering expectation management comes first. When working…
📌 A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That?

🗂 Category: MATH

🕒 Date: 2025-08-13 | ⏱️ Read time: 21 min read

Since the way we manipulate high-dimensional vectors is primarily matrix multiplication, it isn’t a stretch…
📌 Reducing Time to Value for Data Science Projects: Part 4

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-12 | ⏱️ Read time: 11 min read

Embrace your inner software developer
📌 Model Predictive Control Basics

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-12 | ⏱️ Read time: 9 min read

A hands-on tutorial with Python and CasADi
📌 Coconut: A Framework for Latent Reasoning in LLMs

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-12 | ⏱️ Read time: 12 min read

Explaining Coconut (Training Large Language Models to Reason in a Continuous Latent Space) in simple…
📌 A Refined Training Recipe for Fine-Grained Visual Classification

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-12 | ⏱️ Read time: 17 min read

How FGVC aims to recognize images belonging to multiple subordinate categories of a super-category
📌 Fine-Tune Your Topic Modeling Workflow with BERTopic

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-12 | ⏱️ Read time: 7 min read

Learn how to fine-tune BERTopic settings for more focused, reproducible, and interpretable results
📌 Estimating from No Data: Deriving a Continuous Score from Categories

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-11 | ⏱️ Read time: 13 min read

A walk-through of and the maths behind using low-capacity networks to acquire fine-grained scoring when…