Snorkel AI

JANUARY 11, 2023

Using Snorkel Flow, Pixability leveraged foundation models to build small, deployable classification models capable of categorizing videos across more than 600 different classes with 90% accuracy in just a few weeks. To help brands maximize their reach, they need to constantly and accurately categorize billions of YouTube videos.

NLP 52

NLP Auto-classification Categorization Natural Language Processing 52

The MLOps Blog

APRIL 20, 2023

Regularization techniques: experiment with weight decay, dropout, and data augmentation to improve model generalization. Managing data quality and quantity : managing data quality and quantity is crucial for training reliable CV models. Libraries like imgaug , albumentations , and torchvision.

Computer Vision 64

Computer Vision Auto-classification Neural Network Convolutional Neural Networks 64

DataRobot Blog

MARCH 10, 2022

By enabling data scientists to rapidly iterate through model development, validation, and deployment, DataRobot provides the tools to blitz through steps four and five of the machine learning lifecycle with AutoML and Auto Time-Series capabilities. and recommend the best optimization metric to use.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Automation Auto-classification 52

Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Auto-generated tag-based LFs.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Auto-generated tag-based LFs.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 14, 2024

It includes processes for monitoring model performance, managing risks, ensuring data quality, and maintaining transparency and accountability throughout the model’s lifecycle. It’s a binary classification problem where the goal is to predict whether a customer is a credit risk. region_name ram_client = boto3.client('ram')

ML 88

ML Auto-complete Machine Learning Auto-classification 88

Pickl AI

MARCH 10, 2023

Furthermore, it ensures that data is consistent while effectively increasing the readability of the data’s algorithm. Data Cleaning is an essential part of the Data Pre-processing task, which improves the data quality, allowing efficient decision-making.

Data Scientist 52

Data Scientist Data Science Data Integration Auto-classification 52

Snorkel AI

FEBRUARY 27, 2023

So rather than just clicking and labeling one data point at a time, like playing 20,000 questions with a machine-learning model that then has to re-infer all that rich knowledge that was in your head, why not just express it directly to inject that domain knowledge? This could be something really simple.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

Snorkel AI

FEBRUARY 27, 2023

So rather than just clicking and labeling one data point at a time, like playing 20,000 questions with a machine-learning model that then has to re-infer all that rich knowledge that was in your head, why not just express it directly to inject that domain knowledge? This could be something really simple.

Machine Learning 52

Machine Learning AI AI Large Language Models 52