· ai
The Subset Sum Problem Solved in Linear Time for Dense Enough Inputs
An optimal solution to the well-known NP-complete problem, when the input values are close enough to each other. The post The Subset Sum Problem Solved in Linea...
Source
Towards Data Science
185 posts from this source
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- · ai
Generating Artwork in Python Inspired by Hirst’s Million-Dollar Spots Painting
Using Python to generate art The post Generating Artwork in Python Inspired by Hirst’s Million-Dollar Spots Painting appeared first on Towards Data Science....
- · ai
A Practical Toolkit for Time Series Anomaly Detection, Using Python
Here's how to detect point anomalies within each series, and identify anomalous signals across the whole bank The post A Practical Toolkit for Time Series Anoma...
- · ai
The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel
Neural networks often feel like black boxes. In this article, we build a neural network regressor from scratch using only Excel formulas. By making every step e...
- · ai
Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach
LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems The post Production-Grade Observability for AI Agents: A Minimal-Code...
- · ai
3 Techniques to Effectively Utilize AI Agents for Coding
Learn how to be an effective engineer with coding agents The post 3 Techniques to Effectively Utilize AI Agents for Coding appeared first on Towards Data Scienc...
- · ai
When (Not) to Use Vector DB
When indexing hurts more than it helps: how we realized our RAG use case needed a key-value store, not a vector database The post When Not to Use Vector DB appe...
- · software
Separate Numbers and Text in One Column Using Power Query
An Excel sheet with a column containing numbers and text? What a mess! The post Separate Numbers and Text in One Column Using Power Query appeared first on Towa...
- · ai
The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel
Kernel SVM often feels abstract, with kernels, dual formulations, and support vectors. In this article, we take a different path. Starting from Kernel Density E...
- · ai
Lessons Learned After 8 Years of Machine Learning
Deep work, over-identification, sports, and blogging The post Lessons Learned After 8 Years of Machine Learning appeared first on Towards Data Science....
- · ai
The Machine Learning “Advent Calendar” Day 15: SVM in Excel
Instead of starting with margins and geometry, this article builds the Support Vector Machine step by step from familiar models. By changing the loss function a...
- · ai
6 Technical Skills That Make You a Senior Data Scientist
Beyond writing code, these are the design-level decisions, trade-offs, and habits that quietly separate senior data scientists from everyone else. The post 6 Te...