Snorkel AI

OCTOBER 6, 2023

Pre-training with unstructured data Pre-training with unstructured data sounds simple: gather proprietary data from across your organization and dump it all into a self-supervised learning pipeline. In April 2023, Snorkel AI and Together.AI But it’s not that straightforward.

Data Science 59

Data Science Supervised Learning Data Mining Data Mining 59

Google Research AI blog

JULY 23, 2023

Google is proud to be a Diamond Sponsor of the 40th International Conference on Machine Learning (ICML 2023), a premier annual conference, which is being held this week in Honolulu, Hawaii. Google is also proud to be a Platinum Sponsor for both the LatinX in AI and Women in Machine Learning workshops. Registered for ICML 2023?

Machine Learning 77

Machine Learning Machine Learning ML ML 77

Snorkel AI

MARCH 30, 2023

Here’s an overview of the Data-centric Foundation Model Development capabilities: Warm Start: Auto-label training data using the power of FMs + state-of-the-art zero- or few-shot learning techniques during onboarding, helping get to a powerful baseline “first pass” with minimal human effort. Interested in learning more about Snorkel Flow?

ML 98

ML ML Supervised Learning Azure 98

Becoming Human

MAY 15, 2023

The two most common types of supervised learning are classification , where the algorithm predicts a categorical label, and regression , where the algorithm predicts a numerical value. Unsupervised Learning In this type of learning, the algorithm is trained on an unlabeled dataset, where no correct output is provided.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Towards AI

APRIL 18, 2023

Last Updated on April 21, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. Building disruptive Computer Vision applications with No Fine-Tuning Imagine a world where computer vision models could learn from any set of images without relying on labels or fine-tuning. Sounds futuristic, right?

Supervised Learning 96

Supervised Learning AI AI Clustering 96

Snorkel AI

APRIL 18, 2023

Typically, you let the experts read some articles, label them, and then use them as training data and train the supervised learning model. To address all these problems, we looked into weak supervised learning. Once we label a fraction of documents, we use that as training data to train the supervised learning model.

Supervised Learning 52

Supervised Learning Clustering AI AI 52

Snorkel AI

APRIL 18, 2023

Typically, you let the experts read some articles, label them, and then use them as training data and train the supervised learning model. To address all these problems, we looked into weak supervised learning. Once we label a fraction of documents, we use that as training data to train the supervised learning model.

Supervised Learning 52

Supervised Learning Clustering AI AI 52

Dataconomy

APRIL 4, 2023

Reminder : Training data refers to the data used to train an AI model, and commonly there are three techniques for it: Supervised learning: The AI model learns from labeled data, which means that each data point has a known output or target value. It is one of the best AI models.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

Reminder : Training data refers to the data used to train an AI model, and commonly there are three techniques for it: Supervised learning: The AI model learns from labeled data, which means that each data point has a known output or target value. It is one of the best AI models.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

The MLOps Blog

MARCH 21, 2023

Orchestrators are concerned with lower-level abstractions like machines, instances, clusters, service-level grouping, replication, and so on. You can read this article to learn how to choose a data labeling tool. Leveraging Unlabeled Image Data With Self-Supervised Learning or Pseudo Labeling With Mateusz Opala.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69