📌 The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-10 | ⏱️ Read time: 5 min read

DBSCAN shows how far we can go with a very simple idea: count how many…

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📌 How to Maximize Agentic Memory for Continual Learning

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-12-10 | ⏱️ Read time: 7 min read

Learn how to become an effective engineer with continual learning LLMs

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📌 Don’t Build an ML Portfolio Without These Projects

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-10 | ⏱️ Read time: 8 min read

What recruiters are looking for in machine learning portfolios

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📌 Optimizing PyTorch Model Inference on AWS Graviton

🗂 Category: DEEP LEARNING

🕒 Date: 2025-12-10 | ⏱️ Read time: 11 min read

Tips for accelerating AI/ML on CPU — Part 2

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📌 The Machine Learning “Advent Calendar” Day 9: LOF in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-09 | ⏱️ Read time: 7 min read

In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances,…

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📌 The Machine Learning “Advent Calendar” Day 11: Linear Regression in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-11 | ⏱️ Read time: 12 min read

Linear Regression looks simple, but it introduces the core ideas of modern machine learning: loss…

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🤖🧠 How to Run and Fine-Tune Kimi K2 Thinking Locally with Unsloth

🗓️ 11 Dec 2025
📚 AI News & Trends

The demand for efficient and powerful large language models (LLMs) continues to rise as developers and researchers seek new ways to optimize reasoning, coding, and conversational AI performance. One of the most impressive open-source AI systems available today is Kimi K2 Thinking, created by Moonshot AI. Through collaboration with Unsloth, users can now fine-tune and ...

#KimiK2Thinking #Unsloth #LLMs #LargeLanguageModels #AI #FineTuning

📌 Drawing Shapes with the Python Turtle Module

🗂 Category: PROGRAMMING

🕒 Date: 2025-12-11 | ⏱️ Read time: 9 min read

A step-by-step tutorial that explores the Python Turtle Module

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📌 7 Pandas Performance Tricks Every Data Scientist Should Know

🗂 Category: DATA SCIENCE

🕒 Date: 2025-12-11 | ⏱️ Read time: 9 min read

What I’ve learned about making Pandas faster after too many slow notebooks and frozen sessions

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📌 How Agent Handoffs Work in Multi-Agent Systems

🗂 Category: AGENTIC AI

🕒 Date: 2025-12-11 | ⏱️ Read time: 9 min read

Understanding how LLM agents transfer control to each other in a multi-agent system with LangGraph

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