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 Nine Rules for Running Rust in the Browser

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 25 min read

Practical lessons from porting range-set-blaze to WASM
πŸ“Œ Understanding KL Divergence, Entropy, and Related Concepts

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 8 min read

Important concepts in information theory, machine learning, and statistics
πŸ“Œ Precisely Compare Geographical Regions with GeoPandas

πŸ—‚ Category:

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 9 min read

Filling maps with area measurements
πŸ“Œ Adding Gradient Backgrounds to Plotly Charts

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 5 min read

Using Plotly rectangle shapes to improve data visualisation
πŸ“Œ Pandora’s Cloud Migration: Conquer the 7 β€œBringers of Evil”

πŸ—‚ Category:

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 20 min read

A guide to conquering cloud migration challenges
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πŸ“Œ How to Talk About Data and Analysis Simply

πŸ—‚ Category:

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 21 min read

So that it is understandable and engaging to (almost) everyone
πŸ“Œ Implementing Sequential Algorithms on TPU

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πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 13 min read

Accelerating AI/ML Model Training with Custom Operators – Part 3.A
πŸ“Œ Supercharge Your LLM Apps using DSPy and Langfuse

πŸ—‚ Category: NATURAL LANGUAGE PROCESSING

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 14 min read

Build Production Grade LLM Apps with Ease
πŸ“Œ K Nearest Neighbor Regressor, Explained: A Visual Guide with Code Examples

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 11 min read

Finding the neighbors FAST with KD Trees and Ball Trees
πŸ“Œ Scaling RAG from POC to Production

πŸ—‚ Category: CHATGPT

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 8 min read

Common challenges and architectural components to enable scaling
πŸ“Œ Using Linear Equations + LLM to Solve LinkedIn Queens Game

πŸ—‚ Category:

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 11 min read

Prompting GPT to form and solve the linear equations using PuLP
πŸ“Œ AlphaFold 2 Through the Context of BERT

πŸ—‚ Category:

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 9 min read

Understanding AI applications in bio for machine learning engineers
πŸ“Œ Discover AWS Lambda Basics to Run Powerful Serverless Functions

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 12 min read

Learn how I navigated setting up AWS Lambda for the first time
πŸ“Œ Arrays – Data Structures & Algorithms for Data Scientists

πŸ—‚ Category: CODING

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 6 min read

How dynamic and static arrays work under the hood
πŸ“Œ Top 5 Geospatial Data APIs for Advanced Analysis

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-06 | ⏱️ Read time: 22 min read

Explore Overpass, Geoapify, Distancematrix.ai, Amadeus, and Mapillary for Advanced Mapping and Location Data
πŸ“Œ Getting Started with Powerful Data Tables in your Python Web Apps

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-06 | ⏱️ Read time: 6 min read

Using AG Grid to build a Finance app in pure Python with Reflex
πŸ“Œ How Did Open Food Facts Fix OCR-Extracted Ingredients Using Open-Source LLMs?

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-10-06 | ⏱️ Read time: 15 min read

Delve into an end-to-end Machine Learning project to improve the quality of the Open Food…
πŸ“Œ Exploring the AI Alignment Problem with GridWorlds

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-10-06 | ⏱️ Read time: 25 min read

It’s difficult to build capable AI agents without encountering orthogonal goals
πŸ“Œ FormulaFeatures: A Tool to Generate Highly Predictive Features for Interpretable Models

πŸ—‚ Category:

πŸ•’ Date: 2024-10-06 | ⏱️ Read time: 41 min read

Create more interpretable models by using concise, highly predictive features, automatically engineered based on arithmetic…
πŸ“Œ The Rise of Pallas: Unlocking TPU Potential with Custom Kernels

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-10-06 | ⏱️ Read time: 17 min read

Accelerating AI/ML Model Training with Custom Operators – Part 3
πŸ“Œ How I Turned IPL Stats into a Mesmerizing Bar Chart Race

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-06 | ⏱️ Read time: 8 min read

A step-by-step guide to creating captivating animated visualizations for data storytelling