Adventures in Machine Learning

Solving the Real Issues with the MLflow Team - ML 059


Listen Later

If you’re looking for a team that actually cares about the issues you’re facing, look no further than Databricks, and they’ve got something exciting out. In this episode, Michael and Ben welcome on the development team of MLflow, an open-source lifecycle manager for machine learning. They cover how Databricks is redefining how developers and engineers collaborate, the reason behind Databricks’ crazy success, and the number ONE most important testing structure for any development team. “A lot of the success was attributed to process and dedicated focus on the interface, understanding what major problems we were going after. ”
- Corey Zumar In This Episode How Databricks allows data analysis, engineers, and developers to collaborate effectively
Why Databricks was able to rake in 800,000 downloads per MONTH in their first year
A simple but powerful methodology that helps Databrick identify the highest ROI problems to tackle (not just the most popular ones)
The number one MOST important testing structure that reveals how Databricks keeps their work top-notch
What makes Databricks unique from everyone else and is the KEY to putting users first in 2022 Sponsors
  • Top End Devs
  • Coaching | Top End Devs
Special Guests: Corey Zumar, Harutaka Kawamura, Weichen Xu, and Zhang Jin.Sponsored By:
  • Coaching | Top End Devs: Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams
  • Top End Devs: Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how.


Advertising Inquiries: https://redcircle.com/brands

Privacy & Opt-Out: https://redcircle.com/privacy

Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
...more
View all episodesView all episodes
Download on the App Store

Adventures in Machine LearningBy Charles M Wood

  • 4.7
  • 4.7
  • 4.7
  • 4.7
  • 4.7

4.7

13 ratings


More shows like Adventures in Machine Learning

View all
Data Skeptic by Kyle Polich

Data Skeptic

480 Listeners

The Analytics Power Hour by Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer

The Analytics Power Hour

167 Listeners

Practical AI by Practical AI LLC

Practical AI

192 Listeners