Skip to content

Commit

Permalink
Merge pull request #6 from isabelizimm/vetiver
Browse files Browse the repository at this point in the history
update vetiver workshop
  • Loading branch information
mine-cetinkaya-rundel authored Jan 26, 2024
2 parents 704a0df + 34e26ce commit 1ecee79
Show file tree
Hide file tree
Showing 2 changed files with 15 additions and 14 deletions.
Binary file added workshops/images/isabel-zimmerman.jpg
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
29 changes: 15 additions & 14 deletions workshops/vetiver.qmd
Original file line number Diff line number Diff line change
@@ -1,35 +1,36 @@
---
title: Add workshop title here
title: Intro to MLOps with vetiver
author:
- name: Instructor 1 name
- name: Isabel Zimmerman
affiliations:
- name: Instructor 1 affiliation
- name: Instructor 2 name (remove if single instructor)
affiliations:
- name: Instructor 2 affiliation
- name: Posit, PBC
description: |
1-sentence summary of workshop.
categories: [add, comma, separated, categories]
Utilize the vetiver framework in Python and R for efficient versioning, deployment, and monitoring of machine learning models in production.
categories: [mlops, python, r]
---

# Description

Full workshop description goes here. Multi-paragraph ok.
Data scientists understand what goes into training a machine learning or statistical model, but bringing that model into a production environment can be daunting.

This workshop will cover the fundamentals of MLOps (machine learning operations), the practices used to create a MLOps strategy, and what kinds of tasks and components are involved. We’ll use vetiver, a framework for MLOps tasks in Python and R, to version, deploy, and monitor the models you have trained and want to deploy and maintain in production reliably and efficiently.

# Audience

This course is for you if you:
We expect participants to have exposure to basic modeling and machine learning practice, but NOT expert familiarity with advanced ML or MLOps topics.

This workshop is for you if you:

- list at least
- have intermediate R or Python knowledge (this will be a “choose your own adventure” workshop where you can work through the exercises in either R or Python),

- three attributes
- can read data from CSV and other flat files, transform and reshape data, and make a wide variety of graphs, and

- for your target audience
- can fit a model to data with your modeling framework of choice.

# Instructor(s)

| | | |
|------------------|------------------|-------------------------------------|
| ![](images/name-lastname.jpg) | | Instructor bio, including link to homepage. |
| ![](images/isabel-zimmerman.jpg) | | [Isabel Zimmerman](https://www.isabelizimm.me/)(she/her) is a software engineer at Posit, PBC. As part of her job at Posit, she builds and maintains MLOps Python packages such as vetiver and pins. She has a background as a software engineer/data scientist working with data and models in cloud environments. |

: {tbl-colwidths="\[25,5,70\]"}

0 comments on commit 1ecee79

Please sign in to comment.