This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will help ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Google's AI-powered coding agent, Jules, is officially out of beta. The service, which is designed to integrate directly with GitHub, was first announced in December 2024 as a Google Labs project. It ...

Google is testing a machine learning-powered tech in the U.S. to determine the age of users and filter content across all its products accordingly. The company said it will consider data from Google ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

This video will discuss 5 beginner python projects! Hopefully it can give you some inspiration and ideas so that you can get started working on a new python project and apply your knowledge of python.

Abstract: Machine learning (ML) deployment projects are used by practitioners to automatically deploy ML models. While ML deployment projects aid practitioners, security vulnerabilities in these ...

This study explores the development of two predictive models for the yield sooting index (YSI) of various fuels using the advanced capabilities of machine learning (ML), particularly multilayer ...

Google first teased Project Starline in 2021, billing it at the time as a "magic window" that uses special hardware, computer vision and machine learning to create an almost holographic video call ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry. Flying high Antoni Shtipliyski is an engineering manager at Skyscanner, where ...