Machine Learning
39.2K subscribers
3.83K photos
32 videos
41 files
1.3K 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
πŸ“Œ Transforming Data into Solutions: Building a Smart App with Python and AI

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-01-01 | ⏱️ Read time: 13 min read

Some financial analysts worry that artificial intelligence may not justify the massive investments being made…
πŸ“Œ Chi-Squared Test: Comparing Variations Through Soccer

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-01 | ⏱️ Read time: 13 min read

Understanding Different Types of Chi-Squared Tests: A/B Testing for Data Science Series (8)
πŸ“Œ Multi-Agentic RAG with Hugging Face Code Agents

πŸ—‚ Category:

πŸ•’ Date: 2024-12-31 | ⏱️ Read time: 80 min read

Using Qwen2.5-7B-Instruct powered code agents to create a local, open source, multi-agentic RAG system
πŸ“Œ Top 12 Skills Data Scientists Need to Succeed in 2025

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-12-31 | ⏱️ Read time: 27 min read

It’s (not) all about LLMs and AI tools
πŸ“Œ Creating SMOTE Oversampling from Scratch

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-12-31 | ⏱️ Read time: 8 min read

A Python tutorial on how to implement oversampling and how to make custom variations
πŸ“Œ The Math Behind In-Context Learning

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-12-31 | ⏱️ Read time: 6 min read

From attention to gradient descent: unraveling how transformers learn from examples
❀1
πŸ“Œ The Key to Smarter Models: Tracking Feature Histories

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-12-31 | ⏱️ Read time: 10 min read

Capture context and improve predictions with historical data
πŸ“Œ From Default Python Line Chart to Journal-Quality Infographics

πŸ—‚ Category: ANALYTICS

πŸ•’ Date: 2024-12-30 | ⏱️ Read time: 3 min read

Transform boring default Matplotlib line charts into stunning, customized visualizations
πŸ“Œ Mastering Model Uncertainty: Thresholding Techniques in Deep Learning

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-12-30 | ⏱️ Read time: 7 min read

A few words on thresholding, the softmax activation function, introducing an extra label, and considerations…
πŸ“Œ How to Build a Resume Optimizer with AI

πŸ—‚ Category:

πŸ•’ Date: 2024-12-30 | ⏱️ Read time: 7 min read

Step-by-step guide with example Python code
πŸ“Œ How to Build a Graph RAG App

πŸ—‚ Category:

πŸ•’ Date: 2024-12-30 | ⏱️ Read time: 30 min read

The accompanying code for the app and notebook are here. Knowledge graphs (KGs) and Large Language…
πŸ“Œ I Combined the Blockchain and AI to Generate Art. Here’s What Happened Next.

πŸ—‚ Category: BLOCKCHAIN

πŸ•’ Date: 2024-12-30 | ⏱️ Read time: 8 min read

Using LLMs to create artistic representations of data
❀2
πŸ“Œ Introducing n-Step Temporal-Difference Methods

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-12-29 | ⏱️ Read time: 10 min read

Dissecting β€œReinforcement Learning” by Richard S. Sutton with custom Python implementations, Episode V
πŸ“Œ Superposition: What Makes it Difficult to Explain Neural Network

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-12-29 | ⏱️ Read time: 7 min read

When there are more features than model dimensions
❀1
πŸ“Œ Deep Dive into Multithreading, Multiprocessing, and Asyncio

πŸ—‚ Category:

πŸ•’ Date: 2024-12-28 | ⏱️ Read time: 10 min read

How to choose the right concurrency model
πŸ“Œ Measuring Cross-Product Adoption Using dbt_set_similarity

πŸ—‚ Category: SQL

πŸ•’ Date: 2024-12-28 | ⏱️ Read time: 5 min read

Enhancing cross-product insights within dbt workflows
πŸ“Œ Master Bots Before Starting with AI Agents: Simple Steps to Create a Mastodon Bot with Python

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2024-12-27 | ⏱️ Read time: 13 min read

I recently published a post on Mastodon that was shared by six other accounts within…
πŸ“Œ Understanding the Optimization Process Pipeline in Linear Programming

πŸ—‚ Category:

πŸ•’ Date: 2024-12-27 | ⏱️ Read time: 8 min read

An introduction to the backend and frontend processes in linear programming, including the mathematical programming…
❀1
πŸ“Œ Lessons from COVID-19: Why Probability Distributions Matter

πŸ—‚ Category: COVID-19

πŸ•’ Date: 2024-12-27 | ⏱️ Read time: 13 min read

Understanding Distributions with Extremes: Probability for Data Science Series (END)
❀1
πŸ“Œ Track Computer Vision Experiments with MLflow

πŸ—‚ Category:

πŸ•’ Date: 2024-12-26 | ⏱️ Read time: 10 min read

Discover how to set up an efficient MLflow environment to track your experiments, compare and…
πŸ“Œ How Neural Networks Learn: A Probabilistic Viewpoint

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-12-26 | ⏱️ Read time: 8 min read

Understanding Loss Functions in Training Neural Networks