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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📌 How to Create a Customized GenAI Video in 3 Simple Steps

🗂 Category:

🕒 Date: 2025-01-07 | ⏱️ Read time: 15 min read

Put a real-world object into fully AI-generated 4D scenes with minimal effort, so that it…
📌 Airflow Data Intervals: A Deep Dive

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-01-07 | ⏱️ Read time: 10 min read

Building idempotent and re-playable data pipelines
📌 All The SQL a Data Scientist Needs to Know

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-07 | ⏱️ Read time: 12 min read

What you need to know, best practices, and where you can practice your skills
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📌 Easy Map Boundary Extraction with GeoPandas

🗂 Category: DATA VISUALIZATION

🕒 Date: 2025-01-07 | ⏱️ Read time: 8 min read

How to visualize country borders with Python
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📌 The Build vs. Buy Dilemma for GenAI Applications

🗂 Category: STRATEGY

🕒 Date: 2025-01-07 | ⏱️ Read time: 6 min read

A strategic guide to build vs. buy for GenAI
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📌 An Overview of Feature Selection

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-07 | ⏱️ Read time: 28 min read

With a presentation of a rarely used, highly effective method for establishing the predictive power…
📌 Encapsulation: A Software Engineering Concept Data Scientists Must Know To Succeed

🗂 Category: CODING

🕒 Date: 2025-01-06 | ⏱️ Read time: 13 min read

Simple concepts that differentiate a professional from amateurs
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📌 In Defense of Statistical Significance

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-06 | ⏱️ Read time: 6 min read

We have to draw the line somewhere
📌 AI Agents Hype, Explained – What You Really Need to Know to Get Started

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-01-06 | ⏱️ Read time: 6 min read

I’ll set the record straight – AI Agents are not new but advanced. Learn how…
📌 The State of Quantum Computing: Where Are We Today?

🗂 Category: SCIENCE AND TECHNOLOGY

🕒 Date: 2025-01-06 | ⏱️ Read time: 8 min read

And what we need to overcome
📌 Understanding the Evolution of ChatGPT: Part 1-An In-Depth Look at GPT-1 and What Inspired It

🗂 Category: DEEP LEARNING

🕒 Date: 2025-01-06 | ⏱️ Read time: 11 min read

Tracing the roots of ChatGPT: GPT-1, the foundation of OpenAI’s LLMs
📌 Meet GPT, The Decoder-Only Transformer

🗂 Category: DEEP LEARNING

🕒 Date: 2025-01-06 | ⏱️ Read time: 31 min read

Understanding and implementing the GPT-1, GPT-2 and GPT-3 architectures
📌 Why Variable Scoping Can Make or Break Your Data Science Workflow

🗂 Category:

🕒 Date: 2025-01-06 | ⏱️ Read time: 7 min read

Let’s kick off 2025 by writing some clean code together
📌 Measuring The Execution Times of C Versus Rust

🗂 Category:

🕒 Date: 2025-01-06 | ⏱️ Read time: 15 min read

Is C is faster than Rust? I had always assumed the answer to that question…
📌 Google’s Willow Quantum Computing Chip: A Game Changer?

🗂 Category: PHYSICS

🕒 Date: 2025-01-06 | ⏱️ Read time: 12 min read

Suppressing Logical Errors Exponentially! For the First Time
📌 Predicting a Ball Trajectory

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-05 | ⏱️ Read time: 7 min read

Polynomial Fit in Python with NumPy
📌 Awesome Plotly with Code Series (Part 7): Cropping the y-axis in Bar Charts

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-05 | ⏱️ Read time: 10 min read

Is there ever a good reason for starting a bar chart above zero?
📌 Journey to Full-Stack Data Scientist: Model Deployment

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-04 | ⏱️ Read time: 11 min read

An introduction to productionizing a machine learning model using APIs and Docker.
📌 The Next Frontier in LLM Accuracy

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-04 | ⏱️ Read time: 21 min read

Exploring the Power of Lamini Memory Tuning
📌 Data behind the Luck, Ambition, and a Billion-Dollar Dream: Lottery

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-04 | ⏱️ Read time: 13 min read

Using Seattle’s local retail store data for consumer patterns of the lottery (SQL, Python)
📌 How to Tell Among Two Regression Models with Statistical Significance

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-03 | ⏱️ Read time: 9 min read

Diving into the F-test for nested models with algorithms, examples and code