GitHub

Predictive Maintenance Using Machine Learning

Predictive maintenance using Python and machine learning to analyse machine sensor data and predict failures. - Vahid-8185/predictive-maintenance-analysis ...

Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
KDnuggets

How to Access Multiple AI Models in Your Python Apps Using OpenRouter

Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models ...
GitHub

AV Classroom Analysis with Python and Machine Learning

Contribute to AhmedSalamaAV/AV_Machine_Learning_And_Data_Analysis development by creating an account on GitHub.

Can you notice before a machine breaks? Let's try detecting anomalies in sensor data with Python

Even if machines and equipment seem to break suddenly one day, small changes in temperature, vibration, current, etc., often ...
InfoWorld

Python is de-jitted but still de-lovely

Python jettisons the native JIT, at least for now A promising experiment in natively speeding up CPython has come to a halt ...
cloud

Zero-shot predictions in Pandas using the new BigQuery Accessor

Scale machine learning directly in Pandas and boost productivity using enterprise-grade BigQuery AI functions without leaving ...
Rebellion Research

Dynamic Asset Allocation Using Machine Learning for Risk Management

Explore dynamic asset allocation using machine learning to adapt portfolio weights, interpret market signals, and balance ...
BIOENGINEER

Machine Learning Surrogates Predict Wing Aerodynamics and Stress in Seconds

Researchers built regressor chain surrogate models that predict pressure and stress fields across varied wing planforms with ...
HackerNoon

Guido van Rossum: The Rise and Fall of Python's Benevolent Dictator

Guido van Rossum wrote Python over a 1989 Christmas break. By 2018 it ran AI and the web, and a fight over the walrus ...
BIOENGINEER

Kernel-Tuned Machine Learning Pushes Network Intrusion Detection Toward 99% Accuracy on Benchmark Data

A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...
Opinion
Free Software FoundationOpinion

Aaron Swartz's legacy lives on, but who profits from it?

Aaron Swartz would have turned forty this year. In the time since his passing, Swartz's contributions to free software, internet standards, and the freedom to share knowledge have remain enormously ...