Workshop | Managing the Complete Machine Learning Lifecycle with MLflow: 1 of 3

Join us for a 3 part online technical workshop series: Managing the Complete Machine Learning Lifecycle with MLflow. If you’re interested in learning about machine learning and MLflow, this workshop series is for you!

Workshop 1 of 3 | Introduction to MLflow: How to Use MLflow Tracking

Level: Beginner/Intermediate Data Scientist or ML Engineer

Details: This workshop is an introduction to MLflow. Machine Learning (ML) development brings many new complexities beyond the traditional software development lifecycle. Unlike in traditional software development, ML developers want to try multiple algorithms, tools and parameters to get the best results, and they need to track this information to reproduce work. In addition, developers need to use many distinct systems to productionize models.

What you will learn: Understand the four main components of open source MLflow—MLflow Tracking, MLflow Projects, MLflow Models, and Model Registry—and how each component helps address challenges of the ML lifecycle.

Agenda: 9AM PDT - 10AM PDT (GMT-8)

9:00AM - 9:50AM - Workshop led by Jules
9:50AM - 10:00AM - Q&A

[deerbeau]

The resolution is a bit low to fully recognize what was shown in the demo.

[christianlira]

Thank you Jules Damji for this first of three videos...much appreciate the Databricks team in providing these great series.

[PavanKumar-rwbr]

Thanks Jules and the team. This is a wonderful presentation.
I would like to know how MLFlow as a whole fits into a complete CI/CD pipeline that includes git, jenkins in an on premise environment. Is there a casestudy/presentation that you have done in the past?

[YYchen]

Jules are This is great material Thank you!

[DM-pypj]

Interesting. Thanks. The GitHub slides are as a pdf so I think, I could be wrong, none of the links within the pdf can be used e.g. the link to MLFlow tutorials. Can the actual slides as a PowerPoint deck be provided or all the links listed in a visible/usable format?

[marthalanaveen]

thanks for this.

where can i get the code(Utils class with all the statiscmethods) shown at 44:56?

[bhakta]

joy all the way thanks a ton Jules and Karen. I could not attend the session live, is there a way I could join the next sessions?

[eliascastellanosalamilla]

Hi, I´m trying to run the notebooks but I don´t visualize the 6.5 ML runtime, it show me the 6.4 ML extended support...so my question is: What are the specific requirements to run the example notebooks? Regards.

[baouevangelia]

In community edition the Access Token tab is not available so i cannot configure the CLI and as a result i cannot run the code. Any ideas on how to solve it?

[randomguy]

great session: the summary us "particular"

[AnAyahaDay]

From where I can have the slides used in the video lecture?

[mosa]

Does someone have the link for part 2 and 3?