Machine Learning – Telegram
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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📌 Bridging the Data Literacy Gap

🗂 Category: WRITING

🕒 Date: 2024-12-06 | ⏱️ Read time: 16 min read

The Advent, Evolution, and Current state of “Data Translators”
📌 Multimodal RAG: Process Any File Type with AI

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-12-05 | ⏱️ Read time: 13 min read

A beginner-friendly guide with example (Python) code
📌 Chat with Your Images using Multimodal LLMs

🗂 Category:

🕒 Date: 2024-12-05 | ⏱️ Read time: 8 min read

Learn how to build Llama 3.2-Vision locally in a chat-like mode, and explore its Multimodal…
📌 Who Does What in Data? A Practical Introduction to the Role of a Data Engineer & Data Scientist

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-12-05 | ⏱️ Read time: 17 min read

What does a data engineer do differently to a data scientist?
📌 Building a Fantasy Football Research Agent with LangGraph

🗂 Category:

🕒 Date: 2024-12-05 | ⏱️ Read time: 10 min read

An end-to-end guide covering integration with the Sleeper API, creation of a Streamlit UI, and…
📌 DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language…

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-05 | ⏱️ Read time: 10 min read

Traditional RAG vs. dynamic RAG
📌 How to Transition Into Data Science-and Within Data Science

🗂 Category: CAREER ADVICE

🕒 Date: 2024-12-05 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
📌 Don’t Flood Your Algorithms With Easy Examples – It Costs Money

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-05 | ⏱️ Read time: 8 min read

A common mistake that slows down training and burns cash
📌 Break Free from the Individual Contributor Mindset. You Are a Manager Now.

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-05 | ⏱️ Read time: 16 min read

5 mistakes I see new managers make in their transition into leadership roles
📌 How to Build a General-Purpose LLM Agent

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-12-05 | ⏱️ Read time: 13 min read

A Step-by-Step Guide
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📌 Combining Large and Small LLMs to Boost Inference Time and Quality

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-05 | ⏱️ Read time: 8 min read

Implementing Speculative and Contrastive Decoding
📌 How to Interpret Matrix Expressions – Transformations

🗂 Category:

🕒 Date: 2024-12-04 | ⏱️ Read time: 24 min read

Matrix algebra for a data scientist
📌 Step-by-Step Guide for Building Bump Charts in Plotly

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-04 | ⏱️ Read time: 13 min read

Learn how to create custom bump charts in Python using Plotly for data visualization
📌 An Introduction to CTEs in SQL

🗂 Category: PROGRAMMING

🕒 Date: 2024-12-04 | ⏱️ Read time: 6 min read

Explore how Common Table Expression (CTE) can help optimize SQL performance and readability
📌 Machine Learning Basics I Look for in Data Scientist Interviews

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-04 | ⏱️ Read time: 50 min read

Let’s build our breadth of science together.
📌 Information at a Glance: Do Your Charts Suck?

🗂 Category: DATA VISUALIZATION

🕒 Date: 2024-12-04 | ⏱️ Read time: 9 min read

How pre-attentive processing, Gestalt theory, and visual data encoding inform data design decisions
📌 Training Language Models on Google Colab

🗂 Category: DEEP LEARNING

🕒 Date: 2024-12-04 | ⏱️ Read time: 5 min read

A guide to iterative fine-tuning and serialisation
📌 LLMs for Coding in 2024: Price, Performance, and the Battle for the Best

🗂 Category: CODING

🕒 Date: 2024-12-04 | ⏱️ Read time: 13 min read

Evaluating the current LLM landscape based both benchmarks and real-world insights to help you make…
📌 Query Optimization for Mere Humans in PostgreSQL

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-12-03 | ⏱️ Read time: 9 min read

Understanding a PostgreSQL execution plan with practical examples
📌 Becoming a Data Scientist: What I Would Do If I Had to Start Over

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-03 | ⏱️ Read time: 12 min read

Breaking into data science: The Good, the Bad, and the Python Bugs
📌 From Retrieval to Intelligence: Exploring RAG, Agent+RAG, and Evaluation with TruLens

🗂 Category:

🕒 Date: 2024-12-03 | ⏱️ Read time: 26 min read

Unlocking the Power of GPT-Generated Private Corpora