📌 The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies

🗂 Category: ARTIFICIAL INTELLIGENCE

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

How to use n8n with multimodal AI and optimisation tools to help companies with low…

#DataScience #AI #Python

📌 Why Healthcare Leads in Knowledge Graphs

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-18 | ⏱️ Read time: 9 min read

How science, regulation, collaboration, and public funding shaped the world’s most mature semantic infrastructure

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📌 Bridging the Gap Between Research and Readability with Marco Hening Tallarico

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2026-01-19 | ⏱️ Read time: 6 min read

Diluting complex research, spotting silent data leaks, and why the best way to learn is…

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📌 Using Local LLMs to Discover High-Performance Algorithms

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-19 | ⏱️ Read time: 10 min read

How I used open-source models to explore new frontiers in efficient code generation, using my…

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📌 Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-19 | ⏱️ Read time: 11 min read

Why modeling SKUs as a network reveals what traditional forecasts miss

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📌 You Probably Don’t Need a Vector Database for Your RAG — Yet

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-20 | ⏱️ Read time: 14 min read

Numpy or SciKit-Learn might meet all your retrieval needs

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📌 Why Package Installs Are Slow (And How to Fix It)

🗂 Category: DATA ENGINEERING

🕒 Date: 2026-01-20 | ⏱️ Read time: 7 min read

How sharded indexing patterns solve a scaling problem in package management

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📌 Does Calendar-Based Time-Intelligence Change Custom Logic?

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-20 | ⏱️ Read time: 8 min read

Let’s look at calculating the moving average over time

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📌 How to Perform Large Code Refactors in Cursor

🗂 Category: AGENTIC AI

🕒 Date: 2026-01-20 | ⏱️ Read time: 10 min read

Learn how to perform code refactoring with LLMs

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🔥 Trending Repository: Data-Science-For-Beginners

📝 Description: 10 Weeks, 20 Lessons, Data Science for All!

🔗 Repository URL: https://github.com/microsoft/Data-Science-For-Beginners

📖 Readme: https://github.com/microsoft/Data-Science-For-Beginners#readme

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📌 Google Trends is Misleading You: How to Do Machine Learning with Google Trends Data

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-21 | ⏱️ Read time: 11 min read

Google Trends is one of the most widely used tools for analysing human behaviour at…

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📌 If You Want to Become a Data Scientist in 2026, Do This

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-21 | ⏱️ Read time: 10 min read

Learn from my mistakes and fast track your data science career

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📌 Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-01-21 | ⏱️ Read time: 8 min read

How I built a self-healing pipeline that automatically fixes bad CSVs, schema changes, and weird…

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Guide to AI Coding Agents & Assistants: How to Choose the Right One

There are now so many AI tools for coding that it can be confusing to know which one to pick. Some act as simple helpers (Assistant), while others can do the work for you (Agent). This guide breaks down the top AI coding tools that you should be aware of. We will look at what they do, who they are for, and how much they cost.

Read: https://habr.com/en/articles/979402/

https://t.iss.one/DataScienceM

📌 A Case for the T-statistic

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-21 | ⏱️ Read time: 21 min read

And how it compares to the run-of-the-mill z-score

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