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 to Succeed as a Machine Learning Engineer in the Industry

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-07-17 | ⏱️ Read time: 6 min read

5 tips that helped me consistently exceed expectations in BigTech
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πŸ“Œ Judge an LLM Judge: A Dual-Layer Evaluation Framework for Continuous Improvement of LLM Evaluation

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-07-17 | ⏱️ Read time: 13 min read

Can β€œthe evaluation of an LLM application by an LLM judge” be audited by another…
πŸ“Œ Exploring the Latest Advances in Foundation Time-series Models

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-17 | ⏱️ Read time: 9 min read

Fast and accurate forecasting of new data – without training
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πŸ€–πŸ§  DeepEval: The Ultimate LLM Evaluation Framework for AI Developers

πŸ—“οΈ 07 Oct 2025
πŸ“š AI News & Trends

In today’s AI-driven world, large language models (LLMs) have become central to modern applications from chatbots to intelligent AI agents. However, ensuring the accuracy, reliability and safety of these models is a significant challenge. Even small errors, biases or hallucinations can result in misleading information, frustrated users or business setbacks. This is where DeepEval, an ...

#DeepEval #LLM #AIDevelopment #LanguageModels #ModelEvaluation #ArtificialIntelligence
πŸ“Œ Exploring the Right Fit: Choosing Primary Keys for Your Database

πŸ—‚ Category: DATABASE DESIGN

πŸ•’ Date: 2024-07-16 | ⏱️ Read time: 27 min read

A practical example of navigating key selection trade-offs in a real-world scenario
πŸ“Œ Visualizing and Integrating Complex Ideas with LLMs, Part 1: Napkin AI

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-16 | ⏱️ Read time: 4 min read

Discover how AI tools can transform intricate concepts into clear, practical frameworks and diagrams
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πŸ“Œ MOE & MOA for Large Language Models

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-16 | ⏱️ Read time: 4 min read

Seeking Advice from a Panel of Specialists
πŸ“Œ Pitching (AI) Innovation in Your Company

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-16 | ⏱️ Read time: 7 min read

Key steps to kick off an AI journey in your current job
πŸ€–πŸ§  The Little Book of Deep Learning – A Complete Summary and Chapter-Wise Overview

πŸ—“οΈ 08 Oct 2025
πŸ“š AI News & Trends

In the ever-evolving world of Artificial Intelligence, deep learning continues to be the driving force behind breakthroughs in computer vision, speech recognition and natural language processing. For those seeking a clear, structured and accessible guide to understanding how deep learning really works, β€œThe Little Book of Deep Learning” by FranΓ§ois Fleuret is a gem. This ...

#DeepLearning #ArtificialIntelligence #MachineLearning #NeuralNetworks #AIGuides # FrancoisFleuret
πŸ“Œ PyTorch Tabular: A Review

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-07-16 | ⏱️ Read time: 8 min read

An overview for getting up and running quickly, while avoiding confusion
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πŸ“Œ The Math Behind Multi-Head Attention in Transformers

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-16 | ⏱️ Read time: 18 min read

Deep Dive into Multi-Head Attention, the secret element in Transformers and LLMs. Let’s explore its…
πŸ“Œ The Ultimate Guide to Finding Outliers in Your Time-Series Data (Part 3)

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-16 | ⏱️ Read time: 17 min read

Outliers Found: Now What? A Guide to Treatment Options
πŸ“Œ The Ultimate Guide to Finding Outliers in Your Time-Series Data (Part 3)

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-16 | ⏱️ Read time: 1 min read

Outliers Found: Now What? A Guide to Treatment Options
πŸ€–πŸ§  Build a Large Language Model From Scratch: A Step-by-Step Guide to Understanding and Creating LLMs

πŸ—“οΈ 08 Oct 2025
πŸ“š AI News & Trends

In recent years, Large Language Models (LLMs) have revolutionized the world of Artificial Intelligence (AI). From ChatGPT and Claude to Llama and Mistral, these models power the conversational systems, copilots, and generative tools that dominate today’s AI landscape. However, for most developers and learners, the inner workings of these systems remain a mystery until now. ...

#LargeLanguageModels #LLM #ArtificialIntelligence #DeepLearning #MachineLearning #AIGuides
πŸ“Œ How to Manipulate the Total in Power BI

πŸ—‚ Category:

πŸ•’ Date: 2024-07-16 | ⏱️ Read time: 8 min read

In most cases, the total aggregates the detail rows in a visual. But what if…
πŸ“Œ The LLM Triangle Principles to Architect Reliable AI Apps

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-16 | ⏱️ Read time: 19 min read

Software design principles for thoughtfully designing reliable, high-performing LLM applications
πŸ“Œ Hacking β€œCodenames” with GloVe Embeddings

πŸ—‚ Category: NATURAL LANGUAGE PROCESSING

πŸ•’ Date: 2024-07-16 | ⏱️ Read time: 7 min read

Using a GloVe embedding-based algorithm to achieve 100% accuracy on the popular party game β€œCodenames”
πŸ“Œ Topic Modeling Open-Source Research with the OpenAlex API

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-15 | ⏱️ Read time: 10 min read

An overview of topic modeling global research through the OpenAlex API and visualizing results
πŸ€–πŸ§  OpenAI’s AgentKit: Transforming How Developers Build and Deploy AI Agents

πŸ—“οΈ 08 Oct 2025
πŸ“š AI News & Trends

OpenAI continues to redefine the frontiers of artificial intelligence with the introduction of AgentKit a powerful all-in-one toolkit designed to simplify and accelerate how developers build and deploy AI agents. Unveiled during OpenAI’s Dev Day on October 6, 2025, AgentKit marks a transformative leap in agentic AI technology giving developers and organizations the ability to ...

#OpenAI #AgentKit #AIAgents #ArtificialIntelligence #DeveloperTools #AIInnovation
πŸ“Œ PyEnv & Poetry Tutorial: Ultimate Data Science Setup

πŸ—‚ Category: CODING

πŸ•’ Date: 2024-07-15 | ⏱️ Read time: 8 min read

How to use PyEnv and Poetry together for your environment and package management for data…
πŸ“Œ PySpark Explained: User-Defined Functions

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-07-15 | ⏱️ Read time: 10 min read

What are they, and how do you use them?