MindsDB: In-Database Machine Learning
00:00 Intro
00:28 Few words about MindsDB
01:30 Simplification of the MLOps lifecycle
03:04 Data-centric approach for applied ML problems
04:36 Explain the concept of “AI tables”
06:42 DEMO: predicting real estate prices
08:13 DEMO continued: create ML model with SQL
10:27 EXPLAIN: How models are being built by MindsDB
12:58 DEMO continued: querying models with SQL
16:00 Q&A: how to deploy open-source version of MindsDB
17:03 Q&A: how to deploy MindsDB model as a web service?
17:56 Q&A: integration with ML Flow
21:20 Q&A: Plans – what’s next?
23:30 Q&A: Advice for people who want to build an open-source project
Links:
Docs: https://docs.mindsdb.com/
GitHub: https://github.com/mindsdb/mindsdb/
Join Slack: https://mindsdb.com/joincommunity
MLOps Zoomcamp: https://github.com/DataTalksClub/mlops-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
