This is a cross-over episode from our new show The Machine Learning Podcast, the show about going from idea to production with machine learning.
SummaryDeep learning is a revolutionary category of machine learning that accelerates our ability to build powerful inference models. Along with that power comes a great deal of complexity in determining what neural architectures are best suited to a given task, engineering features, scaling computation, etc. Predibase is building on the successes of the Ludwig framework for declarative deep learning and Horovod for horizontally distributing model training. In this episode CTO and co-founder of Predibase, Travis Addair, explains how they are reducing the burden of model development even further with their managed service for declarative and low-code ML and how they are integrating with the growing ecosystem of solutions for the full ML lifecycle.
AnnouncementsThe intro and outro music is from Hitman’s Lovesong feat. Paola Graziano by The Freak Fandango Orchestra/CC BY-SA 3.0
Update Your Model's View Of The World In Real Time With Streaming Machine Learning Using River
Build Better Machine Learning Models With Confidence By Adding Validation With Deepchecks
Build A Full Stack ML Powered App In An Afternoon With Baseten
Skip Straight To The Fun Part Of Your Project With PyScaffold
Add Configuration Best Practices To Your Application In An Afternoon With Dynaconf
Take A Tour Of The Hidden Language Of Hardware And How It Powers Your Code
Take Control Of Your Electrical Systems With The Open Source FlexMeasures Energy Management System
How And Why To Build Effective Teams As An Engineering Leader
Complete Your Hardware "Weekend Projects" In An Actual Weekend With Belay
Catching Up With Pyre, A Fast Type Checker For Python
Standardizing On Python For All Software Projects At Ascend.io
Exploring The Process And Practice Of Building Better Software Through Code Reviews
Ship With Confidence By Automating Quality Assurance
Remove Roadblocks And Let Your Developers Ship Faster With Self-Serve Infrastructure
The Benefits Of Python And Django For Going From Zero To MVP At Speed
Powering The Next Generation Of Application Architectures With Web Assembly And The Fermyon Platform
Gain A Deeper Understanding Of What Your Code Is Doing And Where It Spends Its Time With VizTracer
Stream Processing In Real Time And At Scale In Pure Python With Bytewax
Tetra: A Full Stack Web Framework That Doesn't Make You Write Everything Twice
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