I asked ChatGPT to help me learn coding in a 12-Sunday upskilling plan: AI gives me structured routine

I am a software engineer. But, there is one thing still missing from my profile: coding. I asked ChatGPT to prepare a ...
archive

Machine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive ...
GitHub

tutorial-experiment-train-models-using-features.md

Tutorial 2: Experiment and train models by using features This tutorial series shows how features seamlessly integrate all phases of the machine learning lifecycle: prototyping, training, and ...
GitHub

tutorial-get-started-with-feature-store.md

Managed feature store tutorial 1: Develop and register a feature set In this tutorial series, you learn how to use the managed feature store to discover, create, and operationalize Azure Machine ...
Frontiers

Machine learning-based predictive factor analysis of depression among Chinese adolescents

Adolescent depression has emerged as a critical global public health concern, with rising prevalence in China posing severe threats to psychological development and social adaptation. Traditional ...
IEEE

A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence

Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...
IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...