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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📌 The Most Valuable LLM Dev Skill is Easy to Learn, But Costly to Practice.

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 18 min read

Here’s how not to waste your budget on evaluating models and systems.
📌 The Easiest Way to Learn and Use Python Today

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 9 min read

Google Colab and its integrated Generative AI, a powerful combination
📌 Mastering Sample Size Calculations

🗂 Category:

🕒 Date: 2024-10-09 | ⏱️ Read time: 19 min read

A/B Testing, Reject Inference, and How to Get the Right Sample Size for Your Experiments
📌 Keep the Gradients Flowing

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 27 min read

Optimizing Sparse Neural Networks: Understanding Gradient Flow for Faster Training, and Better Performance in Deep…
📌 Mathematics I Look for in Data Scientist Interviews

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 18 min read

Let’s rebuild our data science foundation.
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📌 From Newton to LLM’s

🗂 Category: PHYSICS

🕒 Date: 2024-10-09 | ⏱️ Read time: 17 min read

A new approach to AI reasoning optimization
📌 5 AI Projects You Can Build This Weekend (with Python)

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 8 min read

From beginner-friendly to advanced
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📌 Embracing Uncertainty: The Power of Fuzzy Logic in Decision-Making

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 13 min read

Exploring how fuzzy logic enhances AI, systems thinking, and real-world applications
📌 ITT vs LATE: Estimating Causal Effects with IV in Experiments with Imperfect Compliance

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 11 min read

Intuition, step-by-step noscript, and assumptions needed for the use of IV
📌 From Set Transformer to Perceiver Sampler

🗂 Category: DEEP LEARNING

🕒 Date: 2024-10-08 | ⏱️ Read time: 4 min read

On multi-modal LLM Flamingo’s vision encoder
📌 A Deeper Dive into Odds Ratios Using Logistic Regression

🗂 Category: STATISTICS

🕒 Date: 2024-10-08 | ⏱️ Read time: 21 min read

A comprehensive guide on how to extract and explore odds ratios from a Logistic Regression…
📌 How to Improve Model Quality Without Building Larger Models

🗂 Category:

🕒 Date: 2024-10-08 | ⏱️ Read time: 12 min read

Going into the Google DeepMind’s “Scaling LLM Test-Time Compute Optimally can be More Effective than…
📌 Make the Switch from Software Engineer to ML Engineer

🗂 Category: CAREER ADVICE

🕒 Date: 2024-10-08 | ⏱️ Read time: 9 min read

7 steps that helped me transition from a software engineer to Machine Learning engineer
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📌 TDS Newsletter: To Better Understand AI, Look Under the Hood

🗂 Category: THE VARIABLE

🕒 Date: 2025-09-25 | ⏱️ Read time: 3 min read

AI-powered tools tend to generate extreme reactions: on one side we have the “It’s magic!” and…
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📌 Still Manually Reviewing All User Interactions For Your AI Solutions?

🗂 Category: BUSINESS

🕒 Date: 2024-10-08 | ⏱️ Read time: 7 min read

Discover how to use cosine similarity to save hours and streamline your AI systems
📌 Graph Neural Networks Part 2. Graph Attention Networks vs. GCNs

🗂 Category:

🕒 Date: 2024-10-08 | ⏱️ Read time: 9 min read

A model that pays attention to your graph
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📌 Nine Rules for Running Rust in the Browser

🗂 Category: PROGRAMMING

🕒 Date: 2024-10-08 | ⏱️ Read time: 25 min read

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

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-08 | ⏱️ Read time: 8 min read

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

🗂 Category:

🕒 Date: 2024-10-08 | ⏱️ Read time: 9 min read

Filling maps with area measurements
📌 Adding Gradient Backgrounds to Plotly Charts

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-08 | ⏱️ Read time: 5 min read

Using Plotly rectangle shapes to improve data visualisation
📌 Pandora’s Cloud Migration: Conquer the 7 “Bringers of Evil”

🗂 Category:

🕒 Date: 2024-10-08 | ⏱️ Read time: 20 min read

A guide to conquering cloud migration challenges
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