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Posts
Making News Recommendations Explainable with Large Lang...
A prompt-based experiment to improve both accuracy and transparent reasoning in ...
When Not to Use the Streamlit AgGrid Component
Streamlit-AgGrid is amazing. But there are 2 scenarios where its use is not reco...
How to Solve a Simple Problem With Machine Learning
A technical walkthrough of lesson oneContinue reading on Towards Data Science »
The Lead, Shadow, and Sparring Roles in New Data Settings
From data engineer to domain expert—what it takes to build a new data platformCo...
Why “Statistical Significance” Is Pointless
Here’s a better framework for data-driven decision-makingContinue reading on Tow...
Smaller is smarter
Concerns about the environmental impacts of Large Language Models (LLMs) are gro...
Visualizing Regression Models with Seaborn
Using visualization to understand the relationship between two variablesContinue...
The Arcane Network
How to use network science and Python to map out the popular showThe second seas...
Overcoming Security Challenges in Protecting Shared Gen...
Ensuring Safe AI on Multi-TenancyContinue reading on Towards Data Science »
Firecrawl: Scrape Any Website Using AI and Bypass Block...
And get clean, LLM-ready dataContinue reading on DataDrivenInvestor »
Unsupervised ML 8 — Using t-SNE for High-Dimensional Da...
Unsupervised Machine Learning — Part 8/18Continue reading on DataDrivenInvestor »
Building Production-Grade Autonomous Agents in less tha...
The Swarms agent framework enables multi-agent collaboration, making automation ...
Unsupervised ML 6 — Advanced Clustering Techniques: DBS...
Unsupervised Machine Learning — Part 6/18Continue reading on Python in Plain Eng...
Planning a Machine Learning Project
Machine Learning (ML) has revolutionized industries by enabling innovative solut...
Black Box Models Vs White Box Models
Imagine you’re trying to understand how a self-driving car works. You know it ca...