Machine Learning
39.7K subscribers
4K photos
36 videos
47 files
1.34K 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 Stop Writing Messy Boolean Masks: 10 Elegant Ways to Filter Pandas DataFrames

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-22 | ⏱️ Read time: 7 min read

Master the art of readable, high-performance data selection using .query(), .isin(), and advanced vectorized logic.

#DataScience #AI #Python
❀3
πŸ“Œ What Other Industries Can Learn from Healthcare’s Knowledge Graphs

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-22 | ⏱️ Read time: 11 min read

How shared meaning, evidence, and standards create durable semantic infrastructure

#DataScience #AI #Python
πŸ“Œ Optimizing Data Transfer in Distributed AI/ML Training Workloads

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2026-01-23 | ⏱️ Read time: 15 min read

A deep dive on data transfer bottlenecks, their identification, and their resolution with the help…

#DataScience #AI #Python
πŸ“Œ Achieving 5x Agentic Coding Performance with Few-Shot Prompting

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-23 | ⏱️ Read time: 9 min read

Learn to leverage few-shot prompting to increase your LLMs performance

#DataScience #AI #Python
πŸ“Œ Why the Sophistication of Your Prompt Correlates Almost Perfectly with the Sophistication of the Response, as Research by Anthropic Found

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-23 | ⏱️ Read time: 9 min read

How prompt engineering has evolved, examined scientifically; and implications for the future of conversational AI…

#DataScience #AI #Python
πŸ“Œ From Transactions to Trends: Predict When a Customer Is About to Stop Buying

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-23 | ⏱️ Read time: 7 min read

Customer churn is usually a gradual process, not a sudden event. In this post, we…

#DataScience #AI #Python
❀1
πŸ“Œ How to Build a Neural Machine Translation System for a Low-Resource Language

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-24 | ⏱️ Read time: 15 min read

An introduction to neural machine translation

#DataScience #AI #Python
πŸ“Œ Air for Tomorrow: Mapping the Digital Air-Quality Landscape, from Repositories and Data Types to Starter Code

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-24 | ⏱️ Read time: 25 min read

Understand air quality: access the available data, interpret data types, and execute starter codes

#DataScience #AI #Python
❀1
πŸ“Œ Azure ML vs. AWS SageMaker: A Deep Dive into Model Training β€” Part 1

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-25 | ⏱️ Read time: 11 min read

Compare Azure ML and AWS SageMaker for scalable model training, focusing on project setup, permission…

#DataScience #AI #Python
❀1πŸ‘1
πŸ“Œ SAM 3 vs. Specialist Models β€” A Performance Benchmark

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-25 | ⏱️ Read time: 19 min read

Why specialized models still hold the 30x speed advantage in production environments

#DataScience #AI #Python
❀2
πŸ“Œ Causal ML for the Aspiring Data Scientist

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-26 | ⏱️ Read time: 18 min read

An accessible introduction to causal inference and ML

#DataScience #AI #Python
❀1
πŸ“Œ How Cursor Actually Indexes Your Codebase

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-26 | ⏱️ Read time: 10 min read

Exploring the RAG pipeline in Cursor that powers code indexing and retrieval for coding agents

#DataScience #AI #Python
πŸ“Œ Ray: Distributed Computing For All, Part 2

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2026-01-26 | ⏱️ Read time: 11 min read

Deploying and running Python code on cloud-based clusters

#DataScience #AI #Python
❀1
πŸ“Œ How Convolutional Neural Networks Learn Musical Similarity

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-26 | ⏱️ Read time: 13 min read

Learning audio embeddings with contrastive learning and deploying them in a real music recommendation app

#DataScience #AI #Python
❀2
πŸ“Œ Going Beyond the Context Window: Recursive Language Models in Action

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-27 | ⏱️ Read time: 24 min read

Explore a practical approach to analysing massive datasets with LLMs

#DataScience #AI #Python
πŸ“Œ Data Science as Engineering: Foundations, Education, and Professional Identity

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-27 | ⏱️ Read time: 15 min read

Recognize data science as an engineering practice and structure education accordingly.

#DataScience #AI #Python
πŸ“Œ From Connections to Meaning: Why Heterogeneous Graph Transformers (HGT) Change Demand Forecasting

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-27 | ⏱️ Read time: 12 min read

How relationship-aware graphs turn connected forecasts into operational insight

#DataScience #AI #Python
πŸ“Œ Layered Architecture for Building Readable, Robust, and Extensible Apps

πŸ—‚ Category: SOFTWARE ENGINEERING

πŸ•’ Date: 2026-01-27 | ⏱️ Read time: 11 min read

If adding a feature feels like open-heart surgery on your codebase, the problem isn’t bugs,…

#DataScience #AI #Python