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 How I Built an LLM-Based Game from Scratch

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-11 | ⏱️ Read time: 17 min read

Part I: Game concepts and Causal Graphs for LLMs
πŸ€–πŸ§  NVIDIA, MIT, HKU and Tsinghua University Introduce QeRL: A Powerful Quantum Leap in Reinforcement Learning for LLMs

πŸ—“οΈ 17 Oct 2025
πŸ“š AI News & Trends

The rise of large language models (LLMs) has redefined artificial intelligence powering everything from conversational AI to autonomous reasoning systems. However, training these models especially through reinforcement learning (RL) is computationally expensive requiring massive GPU resources and long training cycles. To address this, a team of researchers from NVIDIA, Massachusetts Institute of Technology (MIT), The ...

#QuantumLearning #ReinforcementLearning #LLMs #NVIDIA #MIT #TsinghuaUniversity
πŸ“Œ SQL Explained: Ranking Analytics

πŸ—‚ Category: DATA ENGINEERING

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

What they are and how you use them
πŸ“Œ Anatomy of Windows Functions

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-06-11 | ⏱️ Read time: 15 min read

Theory and practice of an underappreciated SQL operation
πŸ“Œ Reinforcement Learning, Part 4: Monte Carlo Control

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-11 | ⏱️ Read time: 17 min read

Harnessing Monte Carlo algorithms to discover the best strategies
πŸ“Œ Spatial Index: Space-Filling Curves

πŸ—‚ Category: DATABASE DESIGN

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

Spatial Index and Space Filling Curves for Multi-dimensional data
πŸ€–πŸ§  Agentic Entropy-Balanced Policy Optimization (AEPO): Balancing Exploration and Stability in Reinforcement Learning for Web Agents

πŸ—“οΈ 17 Oct 2025
πŸ“š AI News & Trends

AEPO (Agentic Entropy-Balanced Policy Optimization) represents a major advancement in the evolution of Agentic Reinforcement Learning (RL). As large language models (LLMs) increasingly act as autonomous web agents – searching, reasoning and interacting with tools – the need for balanced exploration and stability has become crucial. Traditional RL methods often rely heavily on entropy to ...

#AgenticRL #ReinforcementLearning #LLMs #WebAgents #EntropyBalanced #PolicyOptimization
πŸ“Œ Task-Aware RAG Strategies for When Sentence Similarity Fails

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-10 | ⏱️ Read time: 19 min read

When retrieval is based on an additional metric besides just sentence similarity, traditional methods perform…
πŸ“Œ Analyzing Lake Mendota Ice Phenology with Python

πŸ—‚ Category: CLIMATE CHANGE

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

An analysis-ready dataset you can use right now
AI Engineering roadmap that beginners can actually follow. Everything is based on 100% free, open-source, and community resources

All resources can be found here: GitHub

πŸ‘‰  @codeprogrammer
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πŸ“Œ Building a Data Engineering Center of Excellence

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2025-02-13 | ⏱️ Read time: 11 min read

As data continues to grow in importance and become more complex, the need for skilled…
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πŸ“Œ Learnings from a Machine Learning Engineer β€” Part 5: The Training

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-02-13 | ⏱️ Read time: 16 min read

In this fifth part of my series, I will outline the steps for creating a…
πŸ“Œ Learnings from a Machine Learning Engineer β€” Part 3: The Evaluation

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-02-13 | ⏱️ Read time: 13 min read

In this third part of my series, I will explore the evaluation process which is…
πŸ“Œ Learnings from a Machine Learning Engineer β€” Part 1: The Data

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-02-13 | ⏱️ Read time: 13 min read

It is said that in order for a machine learning model to be successful, you…
πŸ“Œ Learnings from a Machine Learning Engineer β€” Part 4: The Model

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-02-13 | ⏱️ Read time: 8 min read

In this latest part of my series, I will share what I have learned on…
πŸ“Œ Learnings from a Machine Learning Engineer β€” Part 2: The Data Sets

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-02-13 | ⏱️ Read time: 10 min read

In Part 1, we discussed the importance of collecting good image data and assigning proper labels…
πŸ€–πŸ§  Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

πŸ—“οΈ 18 Oct 2025
πŸ“š AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel
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πŸ€–πŸ§  Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

πŸ—“οΈ 18 Oct 2025
πŸ“š AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel
πŸ“Œ Machine Learning Meets Panel Data: What Practitioners Need to Know

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-10-17 | ⏱️ Read time: 8 min read

How to avoid overestimating machine learning models’ performance, usefulness, and real-world applicability due to hidden…
πŸ“Œ How to Classify Lung Cancer Subtype from DNA Copy Numbers Using PyTorch

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-10-17 | ⏱️ Read time: 12 min read

A step-by-step introduction to understanding cancer from the perspective of a data scientist.
πŸ“Œ How I Used Machine Learning to Predict 41% of Project Delays Before They Happened

πŸ—‚ Category: PROJECT MANAGEMENT

πŸ•’ Date: 2025-10-17 | ⏱️ Read time: 12 min read

How data science can help project managers anticipate risks and save time