Learn the latest and greatest applications of machine learning from cutting-edge thought leaders, in the time it takes to do the dishes ⏲️ Hosted by @mzweben.
There's a good chance you've heard a lot about #featurestores lately. But what exactly is a feature store? Revisit our ML podcast, @MLMinutes to learn more. Our CEO @mzweben talked with Uber's @atinsanyal about feature stores and what they're capable of: ow.ly/JGHi50FuVct
The @Data_AI_Summit is fast approaching! Our CEO @mzweben and data scientist Jack Ploshnick will discuss a new approach to #MLOps on 5/27. Register for this year's event: ow.ly/k67C50EL5Kv
The first season of our ML podcast is in the books. Have you checked out @MLMinutes yet? It's a great way to catch up on what's happening with all things #machinelearning. We can't wait to bring you season two soon! ow.ly/GbwY50EANVk
Can’t wait to share tomorrow’s episode with you! @Dpbrinkm from @mlopscommunity shares some fascinating stories about #MLOps and the impact it’s had on different companies, from hardware constraints 🖥️ to software horror stories ☁️ to ethical implications ⚖️
Have you had the chance to check out ML Minutes, Splice Machine's #machinelearning podcast? We’re releasing the final episode of the first season releasing next week, and can’t wait to bring you more episodes soon. Catch up or re-listen here: ow.ly/W9eF50EjTtX
Data scientists today spend more time on data prep and not enough time on building models. Check out @mzweben's latest blog in @InfoQ on how #featurestores can truly help enterprises optimize #AI. bit.ly/3rxXMti
By providing the necessary architecture for easy model deployment & streamlining the feature process, building a feature store on top of a combined OLTP/OLAP combined database can increase data science productivity 100 times over: bit.ly/38QYJFJ@mzweben@srinip
I really enjoyed talking with @atinsanyal on the newest episode of @MLMinutes about my newest obsession: feature stores! We explain what they are, how they've changed Uber's ML workflow, and how they can help businesses in their own ML journey.
mlminutes.com/post/14-atin-s…
🆕 episode out now! @atinsanyal came on to chat about 2021’s hottest MLOps technology— feature stores 🏬 Atin shares @Uber’s feature store journey, the benefits feature stores have provided for their data science team, and where they're going next! 🎧
mlminutes.com/post/14-atin-s…
Data scientists today spend more time on data prep and not enough time on building models. Check out @mzweben's latest blog in @InfoQ on how #featurestores can truly help enterprises optimize #AI. bit.ly/3rxXMti
Can't wait to share tomorrow's episode with @atinsanyal on FEATURE STORES! 🏬 if you've been waiting to learn about this hot new #MLOps topic, here's your your chance-- tune in tomorrow to learn all about them and how they've changed the ML workflow @Uber! 📅