Online

In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on the entire training data set at once.

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An international sample of adolescents shows almost 17% experience weight-related bullying online, especially for ... - EurekAlert

How to Watch the Total Solar Eclipse Online

When Real Life Is Hostile, LGBTQ+ Gamers Find Friendship Online

How to watch SpaceX's 3rd Starship launch test live online

TikTok's 'Budget Ozempic' Trend Is Exploding Online: But Is It Safe?

How to watch 'The Space Shuttle That Fell to Earth' online – from anywhere

Some unbreakable encryption keys are accidentally leaking online

Northern lights webcams: Watch the aurora borealis online for free

Here is a 'gifted' link to an [interactive web article in the 11/05 NY Times Magazine online. "A Beginner’s Guide to Looking at the Universe (Gift Article)"

Here's How to Actually Keep Kids and Teens Safe Online

Online AI-based test for Parkinson's disease severity shows promising results

Shedding Light On A Common Online Dating Practice That Needs To Stop

Study Shows How ‘Bots’ Help Spread Earthquake Conspiracies Online

NASA's UFO task force meets on May 31 and you can watch it online with this free livestream

Digital Anthropology Meets Data Science - Analyzing online ecosystems in real time, teams of anthropologists and data scientists can begin to understand rapid social changes as they happen.

Mars Society’s Telerobotic Mars Expedition Design Book Now Available Online

People, Not Google's Algorithm, Create Their Own Partisan 'Bubbles' Online

Gravitational wave detector LIGO is back online after 3 years of upgrades – how the world's most sensitive yardstick reveals secrets of the universe

Online Gaming and Mental Health – Could It Actually Be Beneficial?

Online Art Doesn’t Have The Same Effect On Everyone