Explore the world of MLOps in this conference talk from Conf42 Machine Learning 2023. Delve into the challenges faced by ML engineers and discover current solutions in the field. Learn about the importance of MLOps and its main components, including data versioning, data visualization, experiment tracking, and model registry. Gain insights into data challenges, experiment management, and model-related issues. Pick up valuable UX tips for MLOps implementations and engage with the speaker's invitation to share your favorite MLOps experiences.
Overview
Syllabus
intro
preface
ml engineers' lives can be challenging
the current solution
who is noa
what is mlops
mlops is important to ml engineers
the main components mlops should cover
data challenges
data versioning
data visualisations
experiments challenges
experiment tracking
the main components mlops should cover
models challenges
model registry
general ux tips
what is your favourite mlops experience? tell me!
Taught by
Conf42
