Machine Learning
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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
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πŸ“Œ What Is a Good Imputation for Missing Values?

πŸ—‚ Category: STATISTICS

πŸ•’ Date: 2024-06-08 | ⏱️ Read time: 21 min read

My current take on what imputation should be
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πŸ“Œ How to Build a Generative Search Engine for Your Local Files Using Llama 3

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-06-08 | ⏱️ Read time: 15 min read

Use Qdrant, NVidia NIM API, or Llama 3 8B locally for your local GenAI assistant
πŸ“Œ Can We Save the AI Economy?

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-10-18 | ⏱️ Read time: 23 min read

And do we want to?
πŸ“Œ Python 3.14 and the End of the GIL

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-10-18 | ⏱️ Read time: 16 min read

Exploring the opportunities and challenges of a GIL-free Python
πŸ“Œ Scale Is All You Need for Lip-Sync?

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-06-07 | ⏱️ Read time: 14 min read

Alibaba’s EMO and Microsoft’s VASA-1 are crazy good. Let’s break down how they work.
πŸ“Œ AI Assistants, Copilots, and Agents in Data & Analytics: What’s the Difference?

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-06-07 | ⏱️ Read time: 8 min read

Understanding AI autonomy: assistants, copilots, agents, and their impact on business value
πŸ“Œ Automating Prompt Engineering with DSPy and Haystack

πŸ—‚ Category:

πŸ•’ Date: 2024-06-07 | ⏱️ Read time: 10 min read

Teach your LLM how to talk through examples
πŸ“Œ Fraud Prediction with Machine Learning in the Financial Industry: A Data Scientist’s Experience

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-07 | ⏱️ Read time: 6 min read

Insights and experiences from a data scientist on the frontlines
πŸ“Œ YOLO – By Hand

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-07 | ⏱️ Read time: 6 min read

A breakdown of the math within YOLO
πŸ“Œ How LLMs Think

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-07 | ⏱️ Read time: 11 min read

Research paper in pills: β€œScaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet”
πŸ“Œ Applied LLM Quantisation with AWS Sagemaker | Analytics.gov

πŸ—‚ Category:

πŸ•’ Date: 2024-06-07 | ⏱️ Read time: 19 min read

Host production-ready LLMs endpoints at twice the speed but one fifth the cost.
πŸ“Œ From Code to Insights: Software Engineering Best Practices for Data Analysts

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-06 | ⏱️ Read time: 20 min read

Top 10 engineering lessons every data analyst should know
πŸ“Œ SageMaker vs Vertex AI for Model Inference

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-06-06 | ⏱️ Read time: 14 min read

Comparing the AWS and GCP fully-managed services for ML workflows
πŸ“Œ Multilingual RAG, Algorithmic Thinking, Outlier Detection, and Other Problem-Solving Highlights

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-06 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
πŸ“Œ My 30-Day Map Challenge 2023

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-06 | ⏱️ Read time: 9 min read

An overview of selected map topics and algorithms
πŸ“Œ PAGA Explained: Graphical Abstractions of Single-Cell Data

πŸ—‚ Category: DATA VISUALIZATION

πŸ•’ Date: 2024-06-06 | ⏱️ Read time: 7 min read

How a broader view of data can give us insights to its deeper meaning.
πŸ“Œ Cross-validation with XGBoost – Enhancing Customer Churn Classification with Tidymodels

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-06 | ⏱️ Read time: 6 min read

Step-by-step guide to implementing cross-validation, feature engineering, and model evaluation with XGBoost in Tidymodels
πŸ“Œ Acquire Customers with Ecommerce Data Science

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-05 | ⏱️ Read time: 7 min read

Data informed strategies help ecommerce businesses overcome advertising challenges
πŸ“Œ Why do Computers even use Binary?

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-05 | ⏱️ Read time: 9 min read

A Budding Data Scientist’s Introduction to Computer Hardware
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πŸ“Œ Solving a Resource Planning Problem with Mathematical Programming and Column Generation

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-05 | ⏱️ Read time: 25 min read

Solving the minimum vertex coloring problem via column generation
πŸ“Œ How to Deploy ML Solutions with FastAPI, Docker, and GCP

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-05 | ⏱️ Read time: 11 min read

A hands-on guide with Python example code