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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📌 An introduction to AWS Bedrock

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-01-13 | ⏱️ Read time: 13 min read

The how, why, what and where of Amazon’s LLM access layer

#DataScience #AI #Python
📌 From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolution in Microsoft Fabric

🗂 Category: DATA ENGINEERING

🕒 Date: 2026-01-13 | ⏱️ Read time: 8 min read

Dataflows were (rightly?) considered “the slowest and least performant option” for ingesting data into Power…

#DataScience #AI #Python
1
📌 Why Human-Centered Data Analytics Matters More Than Ever

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-14 | ⏱️ Read time: 8 min read

From optimizing metrics to designing meaning: putting people back into data-driven decisions

#DataScience #AI #Python
📌 What Is a Knowledge Graph — and Why It Matters

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-14 | ⏱️ Read time: 18 min read

How structured knowledge became healthcare’s quiet advantage

#DataScience #AI #Python
📌 Glitches in the Attention Matrix

🗂 Category: DEEP LEARNING

🕒 Date: 2026-01-14 | ⏱️ Read time: 13 min read

A history of Transformer artifacts and the latest research on how to fix them

#DataScience #AI #Python
📌 Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-14 | ⏱️ Read time: 15 min read

Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh parts…

#DataScience #AI #Python
1
📌 When Shapley Values Break: A Guide to Robust Model Explainability

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-01-15 | ⏱️ Read time: 9 min read

Shapley Values are one of the most common methods for explainability, yet they can be…

#DataScience #AI #Python
📌 How to Run Coding Agents in Parallel

🗂 Category: AGENTIC AI

🕒 Date: 2026-01-15 | ⏱️ Read time: 8 min read

Get the most out of Claude Code

#DataScience #AI #Python
📌 The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon

🗂 Category: PRODUCTIVITY

🕒 Date: 2026-01-15 | ⏱️ Read time: 8 min read

Designing a centralized system to track daily habits and long-term goals

#DataScience #AI #Python
📌 Do You Smell That? Hidden Technical Debt in AI Development

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-01-15 | ⏱️ Read time: 14 min read

Why speed without standards creates fragile AI products

#DataScience #AI #Python
1
📌 Maximum-Effiency Coding Setup

🗂 Category: PROGRAMMING

🕒 Date: 2026-01-16 | ⏱️ Read time: 9 min read

Learn how to be a more efficient programmer

#DataScience #AI #Python
1
📌 Cutting LLM Memory by 84%: A Deep Dive into Fused Kernels

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-16 | ⏱️ Read time: 18 min read

Why your final LLM layer is OOMing and how to fix it with a custom…

#DataScience #AI #Python
📌 From RGB to Lab: Addressing Color Artifacts in AI Image Compositing

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-01-16 | ⏱️ Read time: 13 min read

A multi-tier approach to segmentation, color correction, and domain-specific enhancement

#DataScience #AI #Python
📌 The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-16 | ⏱️ Read time: 13 min read

Acquisitions, venture, and an increasingly competitive landscape all point to a market ceiling

#DataScience #AI #Python
📌 Data Poisoning in Machine Learning: Why and How People Manipulate Training Data

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-17 | ⏱️ Read time: 14 min read

Do you know where your data has been?

#DataScience #AI #Python