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
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πŸ“Œ When 50/50 Isn’t Optimal: Debunking Even Rebalancing

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-07-24 | ⏱️ Read time: 7 min read

A new theory of class imbalance demonstrates that the optimal training imbalance in a binary…
πŸ“Œ Getting AI Discovery Right

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-07-24 | ⏱️ Read time: 17 min read

A guide to ideating, validating, and prioritizing your AI use cases
πŸ“Œ How Do Grayscale Images Affect Visual Anomaly Detection?

πŸ—‚ Category: COMPUTER VISION

πŸ•’ Date: 2025-07-24 | ⏱️ Read time: 7 min read

A practical exploration focusing on performance and speed
πŸ“Œ Optimize for Impact: How to Stay Ahead of Gen AI and Thrive as a Data Scientist

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-07-24 | ⏱️ Read time: 13 min read

The data scientists who survive won’t be the ones who code better than ChatGPTβ€”they’ll be…
πŸ“Œ Automating Ticket Creation in Jira With the OpenAI Agents SDK: A Step-by-Step Guide

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-07-24 | ⏱️ Read time: 16 min read

Learn how to create AI Agents using the OpenAI Agents SDK to automate Jira ticket…
πŸ“Œ LLMs Continue to Evolve. So Should Your Skill Set.

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-07-24 | ⏱️ Read time: 3 min read

This week, we highlight three articles that focus on emerging topics and techniques around large…
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πŸ“Œ The Beauty of Space-Filling Curves: Understanding the Hilbert Curve

πŸ—‚ Category: MATH

πŸ•’ Date: 2025-09-07 | ⏱️ Read time: 17 min read

A quick journey from theory to implementation and application
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πŸ“Œ Preventing Context Overload: Controlled Neo4j MCP Cypher Responses for LLMs

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2025-09-07 | ⏱️ Read time: 4 min read

How timeouts, truncation, and result sanitization keep Cypher outputs LLM-ready
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πŸ“Œ Why BI in the AI Age

πŸ—‚ Category: SPONSORED CONTENT

πŸ•’ Date: 2025-07-24 | ⏱️ Read time: 9 min read

An argument for human-led analysis (at least for now)
πŸ“Œ Multi-head Attention is a Fancy Addition Machine

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-07-24 | ⏱️ Read time: 8 min read

β€œAttention is All you Need” showed attention as a sequence of multiplicative and concat operations…
πŸ“Œ How Not to Mislead with Your Data-Driven Story

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-07-23 | ⏱️ Read time: 22 min read

Data storytelling can enlightenβ€”but it can also deceive. When persuasive narratives meet biased framing, cherry-picked…
πŸ“Œ Torchvista: Building an Interactive Pytorch Visualization Package for Notebooks

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-07-23 | ⏱️ Read time: 11 min read

Building a tool to interactively visualize the forward pass of any Pytorch model from within…
πŸ“Œ NumPy API on a GPU?

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-07-22 | ⏱️ Read time: 17 min read

It’s here already from Nvidia and it’s called cuNumeric.
πŸ“Œ Things I Wish I Had Known Before Starting ML

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-07-22 | ⏱️ Read time: 9 min read

Part 1: Data, Sales Pitches, Bugs, and Breakthroughs
πŸ“Œ A Well-Designed Experiment Can Teach You More Than a Time Machine!

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-07-22 | ⏱️ Read time: 7 min read

How experimentation is more powerful than knowing counterfactuals
πŸ“Œ From Rules to Relationships: How Machines Are Learning to Understand Each Other

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-07-22 | ⏱️ Read time: 6 min read

Using knowledge graphs to handle the unexpected in semantic communication
πŸ“Œ What Optimization Terminologies for Linear Programming Really Mean

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-07-22 | ⏱️ Read time: 11 min read

Understanding the duality of optimization problem, primal to dual conversion, and the optimality conditions for…
πŸ“Œ Understanding Matrices | Part 3: Matrix Transpose

πŸ—‚ Category: MATH

πŸ•’ Date: 2025-07-22 | ⏱️ Read time: 13 min read

Visualizing matrix transposition, to make sense of transpose-related formulas.
πŸ“Œ When LLMs Try to Reason: Experiments in Text and Vision-Based Abstraction

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-07-22 | ⏱️ Read time: 21 min read

Can large language models learn to reason abstractly from just a few examples? In this…
πŸ“Œ How To Significantly Enhance LLMs by Leveraging Context Engineering

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-07-21 | ⏱️ Read time: 11 min read

The benefits and practical aspects of context engineering for LLMs