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Machine Learning
Get insights & best practices into AI & machine learning to drive data transformation, upskill, and build data cultures. Discover how you can use ML in your work.
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Managing Machine Learning Models with MLflow
Learn to use MLflow to track and package a machine learning model, and see the process for getting models into production.
Weston Bassler
March 6, 2024
Building a Diffuser Model From Scratch with PyTorch
In this webinar, you'll learn how to build your own diffuser model from scratch!
Philip Bontrager
December 8, 2023
Running Machine Learning Experiments in Python
In this webinar, you'll use MLflow to manage a machine learning experiment pipeline. The session will cover model evaluation, hyperparameter tuning, and MLOps strategies, using a London weather dataset.
Folkert Stijnman
November 16, 2023
Using Feature Stores for Managing Feature Engineering in Python
Learn how to manage the features for your machine learning models, to save you time and improve the consistency of your models.
Colin Priest
August 10, 2023
Introduction to Experiment Tracking
This webinar shows you how to get started with experiment tracking, a pivotal yet frequently overlooked aspect of the data science lifecycle.
Jinen Setpal
July 19, 2023