Have you heard of data lakehouse?
Learn about the 6 key features of a data lakehouse and how you can make your data journey simple!
#datalake#datalakehouse#datawarehouse https://t.co/S2NcpSwZqA
Did you know that in 2019, Databricks provisioned and managed over 1 MILLION VIRTUAL MACHINES PER DAY, to solve world's toughest problems!!! #scalable#DataScience#enterpriseai#cloud
https://t.co/FIxxJaajE5 https://t.co/MpyVVfl72H
Do you how it's like to be in rockets and spaceships?
Feb 2019 - $250M round on $2.75B valuation
Oct 2019 - $400M round on $6.2B valuation
In case you want to do the math, that's in 8 months!
Come join the spaceship, Databricks!…https://t.co/o9d3G4H170 https://t.co/v0Zno1RoKP
Change is the only constant and its true for #machinlearning models. Here is my recent blog on what happens after productionizing - From deployment to drift detection using #databricks https://t.co/cG2qO0Kbud
If you are looking for how to easily manage #ml models in production workflows using #mlflow and handle model drifts, join our webinar with myself and Clemens Mewald https://t.co/zAlqqbvcvO
Instead of being a regular attendee, it's a different feeling when you are an insider participating as teaching assistant for #DataScience class and moderating sessions at #sparkaisummit. Excited for many new innovations and announcements today on #spark,…https://t.co/jUyeuMRYpg
The Logarithmic Spiral Gears is an extreme example of non-circular gear sets. This set is based on the famous Fibonacci spiral and evokes the cross section of nautilus shell with internal chambers https://t.co/YXjTHVHLPa
@wesmckinn Along that line, long form deliberations are better which can portray a thought process much clearer than short snippets of chat. Just think how legislative debate would be if all just share a phrase/sentence at a time. It would be chaotic.
RCAN: Randomized-to-Canonical Adaptation Networks are real2sim image translators trained with domain randomization requiring no real data to achieve high performance on robotic grasping, https://t.co/IFWdCvZhe0 1/2
Its an impressive drop in #deeplearning model training time for ImageNet in ~1 year. This is what will fuel greater adoption and productization/industrialization of #machinelearning and #AI
From AI Index Report 2018 (https://t.co/rq60OKLUjB) https://t.co/AgKU2EUpSk
@tjmahr Along with sensitivity, specificity, precision, accuracy, etc... It makes it hard to convey the characteristics of a model in a self explanatory and intuitive manner. One has to translate to models own domain terminologies prior to sharing.
This update makes working with remote #Jupyter in #vscode much easier while prototyping #datascience solutions
https://t.co/yuBXy8Jzzg https://t.co/vDWZv03L1N
Love this from Marc Andreesen:
"The world is a very malleable place. If you know what you want, and you go for it with maximum energy and drive and passion, the world will often reconfigure itself around you much more quickly and easily than you would think." - @pmarca
I have an idea!
Companies should onboard employees with an internal podcast. It would focus on:
- Company history
- How decisions are made
- Industry 101
- How the company makes money
- Long-term goals and company vision
Fast, efficient, and fun for everybody.