Technologies / Artificial Intelligence

Snorkel - fast processing of training data

The training focuses on the practical use of the Snorkel framework for efficient processing and tagging of training data. Participants will learn techniques for programming tagging functions and methods for combining and verifying tagging. The program covers both theoretical fundamentals and practical applications in real projects. The classes are implemented in the form of workshops using real data sets.

Issues

Snorkel Architecture
Meaningful functions
Combining markings
Quality verification
Automation of marking
Integration with ML pipelines
Preparation of training data
Monitoring of assay quality
Strategies for improving accuracy
Use cases
Export and use of markings
Update models

Benefits

Upon completion of the training, the participant will be able to effectively use Snorkel to quickly process and tag training data
He/she will gain the ability to design and implement tagging functions for different types of data
He/she will be able to evaluate and improve the quality of automated determinations
Will master techniques for combining determinations from different sources
Will learn to integrate Snorkel with existing machine learning pipelines
Will gain hands-on experience in automating the data determination process
Will learn methods for monitoring and improving assay quality
Will be able to apply best practices in training data preparation

Who is this training for?

Data scientists working with large data sets

Machine learning engineers

Specialists in data preparation

Data analysts

AI programmers

Researchers in machine learning

NLP specialists

Data quality engineers

Prerequisites

Knowledge of the basics of machine learning
Experience in Python programming
Basic knowledge of data preparation
Understand supervised learning processes

Training program

Marking functions and their types
Programming functions meaning
Data management
Advanced labeling techniques

Quality verification
Strategies for improving accuracy

Integration with ML pipelines
Preparing data for training
Export of markings

Update models
Practical applications
Text marking
Image classification

Use cases

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Snorkel - fast processing of training data we recommend: Knowledge of the basics of machine learning; Experience in Python programming; Basic knowledge of data preparation.

What is the format and duration of this training?

The training lasts 1 day and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data scientists working with large data sets; Machine learning engineers; Specialists in data preparation.