marktechpost

Building and Optimizing Intelligent Machine Learning Pipelines with TPOT for Complete Automation and Performance Enhancement

We begin this tutorial to demonstrate how to harness TPOT to automate and optimize machine learning pipelines practically. By working directly in Google Colab, we ensure the setup is lightweight, ...
IEEE

Do Not Skip Over the Offline: Verifiable Silent Preprocessing From Small Security Hardware

Abstract: Multi-party computation (MPC) has gained increasing attention in both research and industry, with many protocols adopting the preprocessing model to optimize online performance through the ...
Frontiers

A software pipeline for systematizing machine learning of speech data

1 Department of Computing Science, Faculty of Science, University of Alberta, Edmonton, AB, Canada 2 Computer Science Department, Faculty of Geology, University of Oviedo, Oviedo, Spain The ...
GitHub

codermanu1103/PREDICTIVE-ANALYSIS-USING-MACHINE-LEARNING

This notebook presents a complete machine learning pipeline designed to predict future outcomes based on historical data. It combines data preprocessing, exploration, modeling, evaluation, and ...
IEEE

Practical Preprocessing of Logs at Scale

Abstract: Logs are diverse in structure and large in volume. While containing important information about systems at runtime, they must be preprocessed before analysis can be performed. First, logs ...
Frontiers

Preprocessing LOFARgram through U-Net++ neural network

1 College of Physics and Optoelectronic Engineering, Ocean University of China, Qingdao, China 2 College of Marine Technology, Ocean University of China, Qingdao, China The study of the low-frequency ...
Linux Journal

Unlocking Data Science Potential Understanding Machine Learning and Data Analysis with JupyterLab

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...