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Towards Data Science - Medium
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Latest posts
Last updated about 1 hour ago
EDA in Public (Part 3): RFM Analysis for Customer Segmentation in Pandas
about 1 hour ago
How to build, score, and interpret RFM segments step by step The...
Deep Reinforcement Learning: The Actor-Critic Method
about 3 hours ago
Robot friends collaborate to learn to fly a drone The post Deep...
Production-Ready LLMs Made Simple with the NeMo Agent Toolkit
1 day ago
From simple chat to multi-agent reasoning and real-time REST APIs The post...
What Advent of Code Has Taught Me About Data Science
1 day ago
Five key learnings that I discovered during a programming challenge and how...
Chunk Size as an Experimental Variable in RAG Systems
1 day ago
Understanding retrieval in RAG systems by experimenting with different chunk sizes The...
The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel
1 day ago
Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum...
Overcoming Nonsmoothness and Control Chattering in Nonconvex Optimal Control Problems
2 days ago
With some hints for good numerics The post Overcoming Nonsmoothness and Control...
The Machine Learning “Advent Calendar” Bonus 1: AUC in Excel
2 days ago
AUC measures how well a model ranks positives above negatives, independent of...
Agents Under the Curve (AUC)
2 days ago
Towards understanding if your agentic solution is actually better The post Agents...
How to Facilitate Effective AI Programming
3 days ago
How to ensure your coding agent has the same context as you...
Machine Learning vs AI Engineer: What Are the Differences?
3 days ago
One of the most confusing questions in tech right now is: What...
Implementing Vibe Proving with Reinforcement Learning
3 days ago
How to make LLMs reason with verifiable, step-by-step logic (Part 2) The...