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 How to Color Polars DataFrame

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-27 | ⏱️ Read time: 6 min read

Continue working with the Polars library while being able to color and style the table
πŸ“Œ Exploring the Strategic Capabilities of LLMs in a Risk Game Setting

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-27 | ⏱️ Read time: 39 min read

In a simulated Risk environment, large language models from Anthropic, OpenAI, and Meta showcase distinct…
πŸ“Œ AWS DeepRacer : A Practical Guide to Reducing The Sim2Real Gap – Part 2 || Training Guide

πŸ—‚ Category: ROBOTICS

πŸ•’ Date: 2024-08-26 | ⏱️ Read time: 13 min read

This article describes how to train the AWS DeepRacer to drive safely around a track…
πŸ“Œ No Baseline? No Benchmarks? No Biggie! An Experimental Approach to Agile Chatbot Development

πŸ—‚ Category: INNOVATION

πŸ•’ Date: 2024-08-26 | ⏱️ Read time: 15 min read

Lessons learned bringing LLM-based products to production
πŸ“Œ How to Achieve Near Human-Level Performance in Chunking for RAGs

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-26 | ⏱️ Read time: 10 min read

The costly yet powerful splitting technique for superior RAG retrieval
πŸ“Œ How Can We Continually Adapt Vision-Language Models?

πŸ—‚ Category:

πŸ•’ Date: 2024-08-26 | ⏱️ Read time: 9 min read

Exploring Continual Learning Strategies for CLIP.
πŸ“Œ Introducing Markov Decision Processes, Setting up Gymnasium Environments and Solving them via Dynamic Programming Methods

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-08-26 | ⏱️ Read time: 12 min read

Dissecting β€œReinforcement Learning” by Richard S. Sutton with custom Python implementations, Episode II
πŸ“Œ Tackle Complex LLM Decision-Making with Language Agent Tree Search (LATS) & GPT-4o

πŸ—‚ Category:

πŸ•’ Date: 2024-08-26 | ⏱️ Read time: 11 min read

Enhancing LLM Decision-Making: Integrating Language Agent Tree Search with GPT-4o for Superior Problem Solving
πŸ“Œ Advanced Retrieval Techniques in a World of 2M Token Context Windows: Part 2 on Re-rankers

πŸ—‚ Category:

πŸ•’ Date: 2024-08-26 | ⏱️ Read time: 8 min read

Exploring RAG techniques to improve retrieval accuracy
πŸ“Œ How to Network as a Data Scientist

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-08-26 | ⏱️ Read time: 8 min read

Times are changing – if you want to get into data science, you have to…
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πŸ“Œ Solving The Travelling Salesman Problem Using A Genetic Algorithm

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-08-25 | ⏱️ Read time: 16 min read

An Exploration with Python
πŸ“Œ Automating ETL to SFTP Server Using Python and SQL

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-24 | ⏱️ Read time: 19 min read

Learn how to automate a daily data transfer process on Windows, from PostgreSQL database to…
πŸ“Œ Advanced SQL for Data Science

πŸ—‚ Category: ANALYTICS

πŸ•’ Date: 2024-08-24 | ⏱️ Read time: 15 min read

Expert techniques to elevate your analysis
πŸ“Œ Deploy Models with AWS SageMaker Endpoints – Step by Step Implementation

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 13 min read

A 4-step tutorial on creating a SageMaker endpoint and calling it.
πŸ“Œ A Simple Framework for RAG Enhanced Visual Question Answering

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 20 min read

Empowering Phi-3.5-vision with Wikipedia knowledge for augmented Visual Question Answering.
πŸ“Œ Real-Time Intelligence in Microsoft Fabric: The Ultimate Guide

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-10-04 | ⏱️ Read time: 21 min read

Once upon a time, handling streaming data was considered an avant-garde approach. Since the introduction of relational…
πŸ“Œ Building a Command-Line Quiz Application in R

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-10-05 | ⏱️ Read time: 6 min read

Practice control flow, input handling, and functions in R by creating an interactive quiz game.
πŸ“Œ Feature Extraction for Time Series, from Theory to Practice, with Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-24 | ⏱️ Read time: 12 min read

Here’s everything you need to know when extracting features for Time Series analysis
πŸ“Œ Bernoulli Naive Bayes, Explained: A Visual Guide with Code Examples for Beginners

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-08-24 | ⏱️ Read time: 9 min read

Unlocking predictive power through Yes/No probability