ML Minutes | A Machine Learning Podcast

(After work Jog🏃‍♂️+ Podcast (@MLMinutes or @Emerj) @ 25 Mins = my favorite productivity combo. Name another productivity combination that you enjoy 😊!

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

Really pumped about the #dataaisummit tomorrow where you will see the Splice Machine Real-Time Feature Store working with Databricks. databricks.com/session_na21/u…

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

Did you hear? 👂 Our latest @MLMinutes podcast with Demetrios Brinkmann @Dpbrinkm is out now! Our CEO/host @mzweben talks all things MLOps with Demetrios. Don't miss it. #machinelearning #MLOps ow.ly/GhuM50EqPBQ

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

Check out our #podcast episode featuring @mzweben of @splicemachine & @MLMinutes and get some great insights on #MachineLearning and its real-life applications: buff.ly/3cg1MZ2 #DigitalTransformation #DigitalStrategy #ArtificialIntelligence

On the newest @MLMinutes podcast, @Dpbrinkm stops by to discuss #MLOps with Splice Machine CEO @mzweben, and how businesses can benefit from it. Listen here: ow.ly/rLzy50EoviH

Want to learn how to lose $40,000💸? @Dpbrinkm, coordinator of the @mlopscommunity, told us about one one company that inadvertently did— by not having #MLOps. Listen on to hear about a way to gamify #featurestores 🏬 that could change DS 🔢 as we know it! mlminutes.com/post/15-demetr…

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 ⚖️

☺️☺️ that's us!!!! final episode of season 1 airs in just TWO DAYS. it's been a blast!!

CEO @mzweben discussed in detail how to deliver the ROI from #AI with feature stores ow.ly/JNKz50EjSHj @ITLupdates #featurestore

Our CEO, @mzweben breaks down how feature stores can help cut down the monotonous parts of a data scientist’s job in regards to the ‘Groundhog Day’ effect ow.ly/XLH650Ej1E6 @siliconrepublic @ElseeArdill #featurestore

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…

On the newest @MLMinutes podcast, Splice Machine CEO @mzweben discusses feature stores with @Uber's @atinsanyal and how the #MLOps technology has helped the company's data science team. Listen now! 🔊 ow.ly/cAuh50E1JRK

🆕 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! 📅