Machine Learning – Telegram
Machine Learning
39.2K 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 Math Behind Keras 3 Optimizers: Deep Understanding and Application

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-17 | ⏱️ Read time: 9 min read

This is a bit different from what the books say.
📌 Exploring cancer types with neo4j

🗂 Category:

🕒 Date: 2024-08-17 | ⏱️ Read time: 7 min read

How to identify and visualise clusters in knowledge graphs
📌 Adapting the Azure Landing Zone for a Data Platform in the Cloud

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-08-16 | ⏱️ Read time: 8 min read

Working with sensitive data or within a highly regulated environment requires safe and secure cloud…
📌 Writing a Good Job Denoscription for Data Science/Machine Learning

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-16 | ⏱️ Read time: 16 min read

Things to do and things to avoid in order to find the right candidates for…
1
📌 How to Build Helpful RAGs with Query Routing.

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-16 | ⏱️ Read time: 11 min read

An LLM can handle general routing. Semantic search can handle private data better. Which one…
📌 The Missing Piece: Symbolic AI’s Role in Solving Generative AI Hurdles

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-16 | ⏱️ Read time: 9 min read

Symbolic reasoning may still be alive…
📌 Mastering Data Streaming in Python

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-08-16 | ⏱️ Read time: 13 min read

Best Practices for Real-Time Analytics
📌 Squashing the Average: A Dive into Penalized Quantile Regression for Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-16 | ⏱️ Read time: 5 min read

How to build penalized quantile regression models (with code!)
📌 Bad Assumptions – The Downfall of Even Experienced Data Scientists

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-16 | ⏱️ Read time: 11 min read

Data can be deceptive, so be on your toes!
📌 This Puzzle Shows Just How Far LLMs Have Progressed in a Little Over a Year

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-10-07 | ⏱️ Read time: 10 min read

What took GPT-4o 2 hours to solve, Sonnet 4.5 does in 5 seconds
📌 How to Perform Effective Agentic Context Engineering

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-10-07 | ⏱️ Read time: 14 min read

Learn how to optimize the context of your agents, for powerful agentic performance
📌 How to Easily Validate Your Data with Pandera

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-08-14 | ⏱️ Read time: 6 min read

Learn how to build a simple data model that validates your data through type hints
📌 UniFliXsg: AI-Powered Undergraduate Program Recommendations for Singapore Universities

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-08-14 | ⏱️ Read time: 8 min read

How could AI suggest your majors?
📌 From insights to impact: leveraging data science to maximize customer value

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-13 | ⏱️ Read time: 11 min read

Uplift modeling: how causal machine learning transforms customer relationships and revenue
📌 From Data-Informed to Data-Driven Decisions: An Introduction to Tradespace Exploration

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-13 | ⏱️ Read time: 23 min read

Going beyond Exploratory Data Analysis to find the needle in the haystack
📌 Paper Walkthrough: Vision Transformer (ViT)

🗂 Category: DEEP LEARNING

🕒 Date: 2024-08-13 | ⏱️ Read time: 20 min read

Exploring Vision Transformer (ViT) through PyTorch Implementation from Scratch.
📌 Four Visualisation Libraries That Seamlessly Integrate With Pandas Dataframe

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-13 | ⏱️ Read time: 5 min read

Make use of Pandas plotting backend for the easiest plotting
👍1
📌 Avoid Building a Data Platform in 2024

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-08-13 | ⏱️ Read time: 16 min read

Why articles about ‘Building a Data Platform’ are mostly misleading
📌 Unleashing the Power of Triton: Mastering GPU Kernel Optimization in Python

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-13 | ⏱️ Read time: 11 min read

Accelerating AI/ML Model Training with Custom Operators – Part 2
📌 What to Study if you Want to Master LLMs

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-12 | ⏱️ Read time: 6 min read

What foundational concepts should you study if you want to understand Large Language Models?
📌 Stars of the 2024 Paris Olympics

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-12 | ⏱️ Read time: 8 min read

How to use Wikipedia data to visualize the popularity of top athletes and Olympic sports