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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📌 Cognitive Prompting in LLMs

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-19 | ⏱️ Read time: 9 min read

Can we teach machines to think like humans?
📌 A Critical Look at AI Image Generation

🗂 Category: ART

🕒 Date: 2024-10-17 | ⏱️ Read time: 12 min read

What does image generative AI really tell us about our world?
📌 All You Need to Know to Build Radial Charts in Tableau

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-17 | ⏱️ Read time: 7 min read

You will never forget it after this!
📌 Fine-Tuning BERT for Text Classification

🗂 Category: DEEP LEARNING

🕒 Date: 2024-10-17 | ⏱️ Read time: 6 min read

A hackable example with Python code
📌 Create Your Own Prompt Enhancer from Scratch

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-17 | ⏱️ Read time: 11 min read

How to emulate OpenAI’s system prompt generator functionality
📌 Temporal-Difference Learning: Combining Dynamic Programming and Monte Carlo Methods for Reinforcement Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-17 | ⏱️ Read time: 17 min read

Milestones of RL: Q-Learning and Double Q-Learning
📌 Visualization of Data with Pie Charts in Matplotlib

🗂 Category:

🕒 Date: 2024-10-16 | ⏱️ Read time: 5 min read

Examples of how to create different types of pie charts using Matplotlib to visualize the…
📌 A Novel Approach to Detect Coordinated Attacks Using Clustering

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-16 | ⏱️ Read time: 18 min read

Unveiling hidden patterns: grouping malicious behavior
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📌 Exploring DRESS Kit V2

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-16 | ⏱️ Read time: 13 min read

Exploring new features and notable changes in the latest version of the DRESS Kit
📌 The Science Behind AI’s First Nobel Prize

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-16 | ⏱️ Read time: 13 min read

How Physics and Machine Learning Joined Forces to Win Physics Nobel 2024
📌 Marketing Mix Modeling (MMM): How to Avoid Biased Channel Estimates

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-16 | ⏱️ Read time: 16 min read

Learn which variables you should and should not take into account in your model.
📌 Beyond Naive RAG: Advanced Techniques for Building Smarter and Reliable AI Systems

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-10-16 | ⏱️ Read time: 32 min read

A deep dive into advanced indexing, pre-retrieval, retrieval, and post-retrieval techniques to enhance RAG performance
📌 Will Your Vote Decide the Next President?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-15 | ⏱️ Read time: 22 min read

Simulating the probability that your singular vote swings the election in November
📌 Normalized Discounted Cumulative Gain (NDCG) – The Ultimate Ranking Metric

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-15 | ⏱️ Read time: 10 min read

NDCG – The Rank-Aware Metric for Evaluating Recommendation Systems
📌 Continual Learning: A Primer

🗂 Category: DEEP LEARNING

🕒 Date: 2024-10-15 | ⏱️ Read time: 8 min read

Plus paper recommendations
📌 I Fine-Tuned the Tiny Llama 3.2 1B to Replace GPT-4o

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-15 | ⏱️ Read time: 8 min read

Is the fine-tuning effort worth more than few-shot prompting?
📌 Dataflow architecture

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-10-15 | ⏱️ Read time: 23 min read

on derived data views and eventual consistency
📌 I Built An AI Human-Level Game Player

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-15 | ⏱️ Read time: 13 min read

Old-school game trees can be incredibly effective.
📌 AI Feels Easier Than Ever, But Is It Really?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-15 | ⏱️ Read time: 9 min read

The 4 big challenges of building AI products
📌 Evaluating synthetic data

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-14 | ⏱️ Read time: 9 min read

Assessing plausibility and usefulness of data we generated from real data
📌 How to Choose the Best ML Deployment Strategy: Cloud vs. Edge

🗂 Category:

🕒 Date: 2024-10-14 | ⏱️ Read time: 17 min read

The choice between cloud and edge deployment could make or break your project