📌 The Machine Learning “Advent Calendar” Bonus 1: AUC in Excel
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-12-30 | ⏱️ Read time: 8 min read
AUC measures how well a model ranks positives above negatives, independent of any chosen threshold.
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-12-30 | ⏱️ Read time: 8 min read
AUC measures how well a model ranks positives above negatives, independent of any chosen threshold.
#DataScience #AI #Python
📌 Agents Under the Curve (AUC)
🗂 Category: AGENTIC AI
🕒 Date: 2025-12-30 | ⏱️ Read time: 15 min read
Towards understanding if your agentic solution is actually better
#DataScience #AI #Python
🗂 Category: AGENTIC AI
🕒 Date: 2025-12-30 | ⏱️ Read time: 15 min read
Towards understanding if your agentic solution is actually better
#DataScience #AI #Python
❤2
📌 Production-Ready LLMs Made Simple with the NeMo Agent Toolkit
🗂 Category: AGENTIC AI
🕒 Date: 2025-12-31 | ⏱️ Read time: 23 min read
From simple chat to multi-agent reasoning and real-time REST APIs
#DataScience #AI #Python
🗂 Category: AGENTIC AI
🕒 Date: 2025-12-31 | ⏱️ Read time: 23 min read
From simple chat to multi-agent reasoning and real-time REST APIs
#DataScience #AI #Python
📌 What Advent of Code Has Taught Me About Data Science
🗂 Category: PROGRAMMING
🕒 Date: 2025-12-31 | ⏱️ Read time: 10 min read
Five key learnings that I discovered during a programming challenge and how they apply to…
#DataScience #AI #Python
🗂 Category: PROGRAMMING
🕒 Date: 2025-12-31 | ⏱️ Read time: 10 min read
Five key learnings that I discovered during a programming challenge and how they apply to…
#DataScience #AI #Python
📌 Chunk Size as an Experimental Variable in RAG Systems
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-12-31 | ⏱️ Read time: 12 min read
Understanding retrieval in RAG systems by experimenting with different chunk sizes
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-12-31 | ⏱️ Read time: 12 min read
Understanding retrieval in RAG systems by experimenting with different chunk sizes
#DataScience #AI #Python
📌 The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-12-31 | ⏱️ Read time: 8 min read
Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do not…
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-12-31 | ⏱️ Read time: 8 min read
Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do not…
#DataScience #AI #Python
📌 EDA in Public (Part 3): RFM Analysis for Customer Segmentation in Pandas
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-01 | ⏱️ Read time: 13 min read
How to build, score, and interpret RFM segments step by step
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-01 | ⏱️ Read time: 13 min read
How to build, score, and interpret RFM segments step by step
#DataScience #AI #Python
📌 Deep Reinforcement Learning: The Actor-Critic Method
🗂 Category: REINFORCEMENT LEARNING
🕒 Date: 2026-01-01 | ⏱️ Read time: 19 min read
Robot friends collaborate to learn to fly a drone
#DataScience #AI #Python
🗂 Category: REINFORCEMENT LEARNING
🕒 Date: 2026-01-01 | ⏱️ Read time: 19 min read
Robot friends collaborate to learn to fly a drone
#DataScience #AI #Python
📌 Drift Detection in Robust Machine Learning Systems
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-02 | ⏱️ Read time: 18 min read
A prerequisite for long-term success of machine learning systems
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-02 | ⏱️ Read time: 18 min read
A prerequisite for long-term success of machine learning systems
#DataScience #AI #Python
❤2
📌 Off-Beat Careers That Are the Future Of Data
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-02 | ⏱️ Read time: 8 min read
The unconventional career paths you need to explore
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-02 | ⏱️ Read time: 8 min read
The unconventional career paths you need to explore
#DataScience #AI #Python
📌 The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-02 | ⏱️ Read time: 7 min read
What happens when your clear dashboard meets stakeholders who want everything on one screen
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-02 | ⏱️ Read time: 7 min read
What happens when your clear dashboard meets stakeholders who want everything on one screen
#DataScience #AI #Python
❤1
📌 Optimizing Data Transfer in AI/ML Workloads
🗂 Category: DEEP LEARNING
🕒 Date: 2026-01-03 | ⏱️ Read time: 16 min read
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help…
#DataScience #AI #Python
🗂 Category: DEEP LEARNING
🕒 Date: 2026-01-03 | ⏱️ Read time: 16 min read
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help…
#DataScience #AI #Python
❤3
📌 How to Keep MCPs Useful in Agentic Pipelines
🗂 Category: AGENTIC AI
🕒 Date: 2026-01-03 | ⏱️ Read time: 10 min read
Check the tools your LLM uses before replacing it with just a more powerful model
#DataScience #AI #Python
🗂 Category: AGENTIC AI
🕒 Date: 2026-01-03 | ⏱️ Read time: 10 min read
Check the tools your LLM uses before replacing it with just a more powerful model
#DataScience #AI #Python
❤4👍1
A convenient cheat sheet for those who work with data analysis and ML.
Here are collected the main functions for:
▶️ Creating and modifying arrays;▶️ Mathematical operations;▶️ Working with matrices and vectors;▶️ Sorting and searching for values.
Save it for yourself — it will come in handy when working with NumPy.
tags: #NumPy #Python
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❤6
📌 Prompt Engineering vs RAG for Editing Resumes
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-04 | ⏱️ Read time: 12 min read
Running a code-free comparison in Azure
#DataScience #AI #Python
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-04 | ⏱️ Read time: 12 min read
Running a code-free comparison in Azure
#DataScience #AI #Python