🧪 Data science - matmat · Scour

Preparing future math teachers to teach data science

📐Vector Dimensionality

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

📐Linear Algebra Code

github.com··Hacker News

Understanding Principal Component Analysis (PCA)

📐Linear Algebra Blog

How Causal Reasoning Could Improve Enterprise AI Adoption

⚡Proof Automation

hackernoon.com·

Orange Lab: Lowering Barriers to Data Mining through Embedded Interactive Workflows

🔗Topological Sorting Academic

Ask HN: Pandas to Polars migration, from 200s timeouts to under 4s. Anyone else?

🛠Language Design Discussion

news.ycombinator.com··Hacker News

Issue 654

🏺Media Archaeology Blog

datascienceweekly.substack.com··Substack

Book Review: How Data Happened

🔗Data Provenance

medium.data4sci.com

·

Taipei Zoo welcomes a pair of red pandas from China, first in over a decade

📲Digitization

the-independent.com

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From Jupyter Notebook to production: How to ship AI systems that actually work

⚡Parallel Computing

thenewstack.io··Hacker News

LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version)

🌀Brotli Internals Academic

Show HN: SuperTree – interactive decision tree plot for sklearn,xgboost,lightgbm

🔓Open Source Software Code

github.com··Hacker News, Hacker News

Fraud Detection Isn't a Machine Learning Problem

⏳Temporal Databases

hackernoon.com·

Bridging Expert Knowledge and Automated Feature Engineering via Self-Evolution

🌀Brotli Internals Academic

TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection

💻Operating System, OS Academic

Show HN: Typedframes – Pandas/polars column name checking at lint time

💻programming languages Code

github.com··Hacker News

ASH: Asymmetric Scalar Hashing With Learned Dimensionality Reduction for High-Fidelity Vector Quantization

📊Vector Quantization Academic

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding

📐Vector Dimensionality Academic

Homology-Preserving Dimensionality Reduction via Adaptive Mapper and Landmark Isomap

📐Vector Dimensionality Academic

Towards Persistent Case-Based Memory for Autonomous Data Science: A CBR-Augmented R&D-Agent with a Locally Deployable Small Language Model

🗂️Vector Search Academic

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