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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📌 TDS Newsletter: The Rapid Transformation of Data Science in the Age of AI

🗂 Category: THE VARIABLE

🕒 Date: 2025-10-16 | ⏱️ Read time: 3 min read

How data science became a strikingly different discipline in the span of a couple of…
📌 TDS Newsletter: How to Keep LLMs Effective and Reliable Over Time

🗂 Category: THE VARIABLE

🕒 Date: 2025-10-09 | ⏱️ Read time: 4 min read

Those of you who’ve worked with LLM-powered applications know this: by now, building and deploying these tools…
📌 How Do Computers Actually Compute?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-10 | ⏱️ Read time: 10 min read

A Budding Data Scientist’s Introduction to Computer Hardware
📌 Deploy a LightGBM ML Model With GitHub Actions

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-10 | ⏱️ Read time: 9 min read

A beginner’s guide to getting out of Jupyter notebooks and deploying ML models
📌 Building LLM Apps: A Clear Step-By-Step Guide

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-10 | ⏱️ Read time: 14 min read

Comprehensive Steps for Building LLM-Native Apps: From Initial Idea to Experimentation, Evaluation, and Productization
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📌 From Masked Image Modeling to Autoregressive Image Modeling

🗂 Category: DEEP LEARNING

🕒 Date: 2024-06-10 | ⏱️ Read time: 5 min read

A brief review of the image foundation model pre-training objectives
📌 It’s Time to Finally Memorize those Dang Classification Metrics!

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-10 | ⏱️ Read time: 11 min read

Intuition behind the metrics and how I finally memorized them
📌 How LLMs Will Democratize Exploratory Data Analysis

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-09 | ⏱️ Read time: 19 min read

Or, When you feel your life’s too hard, just go have a talk with Claude
📌 Pandas Indexes And Headers, Have You Ever Been Confused?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-09 | ⏱️ Read time: 8 min read

From single-level index and headers to multi-level, why and how?
📌 Hands On Optimization with Expected Improvement and Gaussian Process Regression, in Python

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-09 | ⏱️ Read time: 12 min read

A friendly guide to Expected Improvement for Global Optimization, in Python
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Machine Learning pinned Deleted message
📌 Here is what using an LLM for monsters taught me about programming

🗂 Category: PROGRAMMING

🕒 Date: 2024-06-09 | ⏱️ Read time: 9 min read

How I learned to use AI as an alternative to generate amazing random data.
📌 What “Dream Big” Meant for Data Science Innovation at LinkedIn

🗂 Category: BUSINESS

🕒 Date: 2024-06-09 | ⏱️ Read time: 10 min read

Here’s how to inspire and lead people for bigger data science projects
📌 Validating the Causal Impact of the Synthetic Control Method

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-08 | ⏱️ Read time: 11 min read

Causal AI, exploring the integration of causal reasoning into machine learning
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📌 SQL Knowledge You Need For Data Science

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-08 | ⏱️ Read time: 11 min read

Topics, resources and advice for becoming proficient in SQL.
📌 Paper review – Communicative Agents for Software Development

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-08 | ⏱️ Read time: 12 min read

After reading and reviewing the Generative Agents paper, I decided to explore the world of…
📌 Python Data Analysis: What Do We Know About Modern Artists?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-08 | ⏱️ Read time: 15 min read

Finding patterns in the media landscape with Wikipedia, Python, and NetworkX
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📌 A Day in the Life of a Data Scientist

🗂 Category: CAREER ADVICE

🕒 Date: 2024-06-08 | ⏱️ Read time: 8 min read

What do I actually do all day, anyway?
📌 Tiny Time Mixers (TTM): A Powerful Zero-Shot Forecasting Model by IBM

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-08 | ⏱️ Read time: 11 min read

A new lightweight open-source foundation model
📌 Principal Component Analysis Made Easy: A Step-by-Step Tutorial

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-08 | ⏱️ Read time: 10 min read

Implement the PCA algorithm from scratch with Python
📌 What Is a Good Imputation for Missing Values?

🗂 Category: STATISTICS

🕒 Date: 2024-06-08 | ⏱️ Read time: 21 min read

My current take on what imputation should be
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