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
📌 Model Calibration, Explained: A Visual Guide with Code Examples for Beginners

🗂 Category:

🕒 Date: 2025-01-10 | ⏱️ Read time: 14 min read

When all models have similar accuracy, now what?
📌 Sustainable Business Strategy with Data Analytics

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-10 | ⏱️ Read time: 13 min read

Use data analytics to help companies design and implement strategic sustainability roadmaps to reduce their…
📌 Linearizing Llama

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-01-10 | ⏱️ Read time: 12 min read

Speeding Up Llama: A Hybrid Approach to Attention Mechanisms
📌 Mastering Transparent Images: Adding a Background Layer

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-10 | ⏱️ Read time: 6 min read

How to Process Images with an Alpha Channel using OpenCV + Python
📌 What to Do If the Logit Decision Boundary Fails?

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-09 | ⏱️ Read time: 6 min read

Feature engineering for classification models using Bayesian Machine Learning
📌 How to Run Jupyter Notebooks and Generate HTML Reports with Python Scripts

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-09 | ⏱️ Read time: 13 min read

A step-by-step guide to automating Jupyter Notebook execution and report generation using Python
1
📌 Data-Driven Decision Making with Sentiment Analysis in R

🗂 Category: NATURAL LANGUAGE PROCESSING

🕒 Date: 2025-01-21 | ⏱️ Read time: 15 min read

Leveraging the Quanteda, Textstem and Sentimentr Packages to Extract Customer Insights and Enhance Business Strategy
📌 Understanding the Evolution of ChatGPT: Part 3- Insights from Codex and InstructGPT

🗂 Category: CHATGPT

🕒 Date: 2025-01-21 | ⏱️ Read time: 22 min read

Mastering the art of fine-tuning: Learnings for training your own LLMs.
📌 Learn to Build Advanced AI Image Applications

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-21 | ⏱️ Read time: 25 min read

By building an interior designer in ComfyUI
📌 Skills a Data Scientist Must Have (But a Software Engineer Doesn’t)

🗂 Category: CAREER ADVICE

🕒 Date: 2025-01-21 | ⏱️ Read time: 11 min read

I guided a friend through her career transition to being an ML engineer.
Has the channel become more useful before?
Anonymous Poll
100%
yes
0%
no
📌 Build your own Annotation Tool for Image Classification in 5 Minutes

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-21 | ⏱️ Read time: 5 min read

How to label an image dataset with OpenCV and Python
📌 Urban Graph Networks

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-21 | ⏱️ Read time: 14 min read

How graph theory can save you hours for your next city trip!
📌 Building a Data Dashboard

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-20 | ⏱️ Read time: 15 min read

Using the streamlit Python library
📌 Why Generative-AI Apps’ Quality Often Sucks and What to Do About It

🗂 Category:

🕒 Date: 2025-01-20 | ⏱️ Read time: 23 min read

How to get from PoCs to tested high-quality applications in production
1
📌 How Most Organizations Get Data Strategy Wrong – and How to Fix It

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-20 | ⏱️ Read time: 79 min read

Redefining Data Strategy to Drive Competitive Advantage with Data, Analytics and AI
1
📌 RAG Isn’t Immune to LLM Hallucination

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-20 | ⏱️ Read time: 11 min read

How to measure how much of your RAG’s output is correct
1
📌 Statistical Learnability of Strategic Linear Classifiers: A Proof Walkthrough

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-08 | ⏱️ Read time: 19 min read

With the help of an intricate geometric construction, we can prove that instance-wise cost functions…
📌 Linear Programming: Auxiliary Variables

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-08 | ⏱️ Read time: 15 min read

Part 5: Increasing LP flexibility to handle tricky logic
📌 Building Effective Metrics to Describe Users

🗂 Category: ANALYTICS

🕒 Date: 2025-01-08 | ⏱️ Read time: 4 min read

How can numerical user metrics be transformed into a personalized assessment of whether this behavior…
📌 Customizing Your Fine-tuning Code Using HuggingFace’s Transformers Library

🗂 Category:

🕒 Date: 2025-01-08 | ⏱️ Read time: 8 min read

Examples of custom callbacks and custom fine-tuning code from different libraries
1