Machine Learning – Telegram
Machine Learning
39.3K subscribers
3.86K photos
32 videos
42 files
1.31K links
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
Download Telegram
📌 The Upstream Mentality: Why AI/ML Engineers Must Think Beyond the Model

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-20 | ⏱️ Read time: 13 min read

Your 3am production alert isn’t a model problem—it’s an upstream crisis in disguise
1
📌 Building a Modern Dashboard with Python and Tkinter

🗂 Category: PROGRAMMING

🕒 Date: 2025-08-19 | ⏱️ Read time: 20 min read

Create polished GUIs and data dashboards with this versatile library
1
📌 Mastering NLP with spaCy – Part 3

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-19 | ⏱️ Read time: 7 min read

Rule-based matching for information extraction
2
📌 Help Your Model Learn the True Signal

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-19 | ⏱️ Read time: 15 min read

An algorithm-agnostic approach inspired by Cook’s distance
📌 Capturing and Deploying PyTorch Models with torch.export

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-19 | ⏱️ Read time: 18 min read

A demonstration of PyTorch’s exciting new export feature on a HuggingFace model
1
📌 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
1
📌 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…
2
📌 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.
1
📌 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
1
📌 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
1
📌 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
1
📌 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
1
📌 “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