active learning Archives

active learning

Active Learning: Why Some Data Are More Equal Than Others

Deep Learning Modeling active learning Europe 2020posted by ODSC Community September 7, 2020

This article discusses active learning and how it can help streamline the data annotation process. Artificial Intelligence is a technology that thrives on two kinds of fuel – computing power and data. Their increasing affordability is the driving force behind the recent AI boom. In fact,... Read more

Guided Labeling: Human-in-the-Loop Label Generation with Active Learning and Weak Supervision

Blogs from ODSC Speakers Conferences Machine Learning Modeling active learning East 2020 KNIME labelingposted by ODSC Community March 5, 2020

Paolo is a speaker for ODSC East 2020 this April 13-17. Be sure to check out his talk, “Guided Labeling: Human-in-the-Loop Label Generation with Active Learning and Weak Supervision,” at this upcoming event! One of the key challenges of utilizing supervised machine learning for real-world use... Read more

An Introduction to Active Learning

Conferences Machine Learning active learning supervised learning West 2018posted by Nathaniel Jermain July 16, 2019

The current utility and accessibility of machine learning is in part due to the exponential increase in the availability of data over time. While data is abundant, labels that are required for specific supervised machine learning tasks can be difficult to obtain. At ODSC West in... Read more

Crash Course: Pool-Based Sampling in Active Learning

Modeling active learning Machine Learning ODSC West supervised algorithmsposted by Spencer Norris, ODSC October 30, 2018

Active learning is a class of machine learning problems where labeled data isn’t available for supervised algorithms. Let’s take the classic setup as an example. Say we have pictures of birds and want to classify them by type, but the images don’t have labels for what... Read more

Active Learning: Why Some Data Are More Equal Than Others

Guided Labeling: Human-in-the-Loop Label Generation with Active Learning and Weak Supervision

An Introduction to Active Learning

Crash Course: Pool-Based Sampling in Active Learning

Anomaly Detection for CRM Data: A Step-By-Step Guide

How to Make Your Own ODSC West Schedule

LLMOps vs MLOps: Understanding the Differences