Machine Learning
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Real Machine Learning β€” simple, practical, and built on experience.
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Admin: @HusseinSheikho || @Hussein_Sheikho
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πŸ“Œ How to Build Effective Agentic Systems with LangGraph

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2025-09-30 | ⏱️ Read time: 12 min read

Create AI workflows with agentic frameworks
πŸ“Œ The Machine Learning Lessons I’ve Learned This Month

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-09-30 | ⏱️ Read time: 7 min read

September 2025: library or self-made, Ditto and Launchbar, reading widely and deeply
πŸ“Œ Proxy SHAP: Speed Up Explainability with Simpler Models

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-21 | ⏱️ Read time: 7 min read

A Practical Guide to Efficient SHAP Computation
πŸ“Œ An Intuitive Guide to Integrate SQL and Python for Data Science

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-21 | ⏱️ Read time: 11 min read

Learn to master MySQL connector, a Python library that enables to interact with MYSQL database
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πŸ“Œ A Basic Introduction to Quantum GANs

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-09-21 | ⏱️ Read time: 11 min read

β€œQuantum computing just becomes vastly simpler once you take the physics out of it.”
πŸ“Œ Reinforcement Learning, Part 8: Feature State Construction

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-21 | ⏱️ Read time: 17 min read

Enhancing linear methods by smartly incorporating state features into the learning objective
πŸ“Œ Topic Modelling Your Personal Data

πŸ—‚ Category:

πŸ•’ Date: 2024-09-21 | ⏱️ Read time: 29 min read

Using Traditional and Transformer Models to Explore Personal Data Stored by Brokers
πŸ“Œ TimesFM: The Boom of Foundation Models in Time Series Forecasting

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-20 | ⏱️ Read time: 14 min read

Explore How Google’s Latest AI Model Delivers Zero-Shot Forecasting Accuracy Using Over 307 Billion Data…
πŸ“Œ Paper Walkthrough: U-Net

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-09-20 | ⏱️ Read time: 16 min read

A PyTorch implementation on one of the most popular semantic segmentation models.
πŸ“Œ Choosing Between LLM Agent Frameworks

πŸ—‚ Category:

πŸ•’ Date: 2024-09-20 | ⏱️ Read time: 15 min read

Thanks to John Gilhuly for his contributions to this piece. Agents are having a moment.…
πŸ“Œ Mastering t-SNE: A Comprehensive Guide to Understanding and Implementation in Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-20 | ⏱️ Read time: 26 min read

Unlock the power of t-SNE for visualizing high-dimensional data, with a step-by-step Python implementation and…
πŸ“Œ Through the Uncanny Mirror: Do LLMs Remember Like the Human Mind?

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-19 | ⏱️ Read time: 10 min read

Exploring the Eerie Parallels and Profound Differences Between AI and Human Memory
πŸ“Œ Improving Code Quality with Array and DataFrame Type Hints

πŸ—‚ Category:

πŸ•’ Date: 2024-09-19 | ⏱️ Read time: 12 min read

How generic specification permits powerful static and runtime validation
πŸ“Œ Shared Nearest Neighbors: A More Robust Distance Metric

πŸ—‚ Category:

πŸ•’ Date: 2024-09-19 | ⏱️ Read time: 36 min read

A distance metric that can improve prediction, clustering, and outlier detection in datasets with many…
πŸ“Œ AdEMAMix: A Deep Dive into a New Optimizer for Your Deep Neural Network

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-09-19 | ⏱️ Read time: 15 min read

A better and faster option than the ADAM optimizer, from Apple Research
πŸ“Œ The Evolution of Text to Video Models

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-09-19 | ⏱️ Read time: 10 min read

Simplifying the neural nets behind Generative Video Diffusion
πŸ“Œ How to Build Your Own Roadmap for a Successful Data Science Career

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-09-19 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
πŸ“Œ A Closer Look at Scipy’s Stats Module – Part 2

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-19 | ⏱️ Read time: 6 min read

Let’s learn the main methods from scipy.stats module in Python.
πŸ“Œ A Closer Look at Scipy’s Stats module – Part 1

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-19 | ⏱️ Read time: 7 min read

Let’s learn the main methods from scipy.stats module in Python.
πŸ“Œ Emerging Tech Is Nothing Without Methodology

πŸ—‚ Category: ANALYTICS

πŸ•’ Date: 2024-09-19 | ⏱️ Read time: 6 min read

Or: a Hundred Ways to Solve a Complex Problem