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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πŸ“Œ Learnings from a Machine Learning Engineer β€” Part 2: The Data Sets

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-02-13 | ⏱️ Read time: 10 min read

In Part 1, we discussed the importance of collecting good image data and assigning proper labels…
πŸ€–πŸ§  Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

πŸ—“οΈ 18 Oct 2025
πŸ“š AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel
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πŸ€–πŸ§  Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

πŸ—“οΈ 18 Oct 2025
πŸ“š AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel
πŸ“Œ Machine Learning Meets Panel Data: What Practitioners Need to Know

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-10-17 | ⏱️ Read time: 8 min read

How to avoid overestimating machine learning models’ performance, usefulness, and real-world applicability due to hidden…
πŸ“Œ How to Classify Lung Cancer Subtype from DNA Copy Numbers Using PyTorch

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-10-17 | ⏱️ Read time: 12 min read

A step-by-step introduction to understanding cancer from the perspective of a data scientist.
πŸ“Œ How I Used Machine Learning to Predict 41% of Project Delays Before They Happened

πŸ—‚ Category: PROJECT MANAGEMENT

πŸ•’ Date: 2025-10-17 | ⏱️ Read time: 12 min read

How data science can help project managers anticipate risks and save time
πŸ“Œ Statistical Method mcRigor Enhances the Rigor of Metacell Partitioning in Single-Cell Data Analysis

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-10-17 | ⏱️ Read time: 6 min read

mcRigor detects dubious metacells within each metacell partition and selects the optimal metacell partitioning method…
πŸ“Œ TDS Newsletter: The Rapid Transformation of Data Science in the Age of AI

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-10-16 | ⏱️ Read time: 3 min read

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

πŸ—‚ Category: THE VARIABLE

πŸ•’ 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…
πŸ“Œ How Do Computers Actually Compute?

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-10 | ⏱️ Read time: 10 min read

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

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-10 | ⏱️ Read time: 9 min read

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

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ 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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πŸ“Œ From Masked Image Modeling to Autoregressive Image Modeling

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-06-10 | ⏱️ Read time: 5 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-10 | ⏱️ Read time: 11 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ 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
πŸ“Œ Pandas Indexes And Headers, Have You Ever Been Confused?

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-09 | ⏱️ Read time: 8 min read

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

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ 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
πŸ“Œ Here is what using an LLM for monsters taught me about programming

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2024-06-09 | ⏱️ Read time: 9 min read

How I learned to use AI as an alternative to generate amazing random data.
πŸ“Œ What β€œDream Big” Meant for Data Science Innovation at LinkedIn

πŸ—‚ Category: BUSINESS

πŸ•’ Date: 2024-06-09 | ⏱️ Read time: 10 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-08 | ⏱️ Read time: 11 min read

Causal AI, exploring the integration of causal reasoning into machine learning
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