Online Learning

A method of ML in which data becomes available in a sequential order and is used to update our best model for future data at each step (unlike batch learning which first learns dataset and then develop an hypothesis). This technique is commonly used in situations where it is computationally infeasible to train over the entire dataset, for example: stock price prediction.

small_c_popup.png

Join the innovative enterprises using cnvrg.io to build, train & deploy their models faster.

schedule a demo today

Announcing CORE, a free ML Platform for the community to help data scientists focus more on data science and less on technical complexity

Download cnrvg CORE for Free

By submitting this form, I agree to cnvrg.io’s
privacy policy and terms of service.