📢 Not long to go! Click below for our upcoming flash talks at @icmlconf. #ICML2022. ⬇️
From supporting winning teams with reinforcement learning, to hearing all about QuantumBlack Labs, our team drives innovation and experimentation in AI.
#ICMLXQB2📢 Not long to go! Click below for our upcoming flash talks at @icmlconf. #ICML2022. ⬇️
From supporting winning teams with reinforcement learning, to hearing all about QuantumBlack Labs, our team drives innovation and experimentation in AI.
#ICMLXQB2📢 Not long to go! Click below for our upcoming flash talks at @icmlconf. #ICML2022. ⬇️
From supporting winning teams with reinforcement learning, to hearing all about QuantumBlack Labs, our team drives innovation and experimentation in AI.
#ICMLXQB2📢 Not long to go! Click below for our upcoming flash talks at @icmlconf. #ICML2022. ⬇️
From supporting winning teams with reinforcement learning, to hearing all about QuantumBlack Labs, our team drives innovation and experimentation in AI.
#ICMLXQB22
#MachineLearning is intrinsic to our work, so we're happy to be part of this year's International Conference on Machine Learning @icmlconf.
Don't miss our booth (#1106) and talks by our experts. 🙋♂️ To register: https://t.co/EX4xrqvhym
#ICML2022#ICMLXQB22
To scale AI: MLOps is key. Discover the crucial role that CEOs play in strategically enabling these new technologies and practices ➡️ https://t.co/qbGa2gS6jx
#McKinseyonAI#MLOps#AI#Leadership
#Bayes Twitter: which probabilistic programming language are you using?
Please comment if you feel like Edward, Pyro or others should be there.
[Side question: has HMC/NUTS killed one-param-at-a-time Gibbs sampling?]
Join the Kedro open forum to meet the core development team and ask any questions you have about Kedro and its place within the ML ecosystem. https://t.co/MAo7bGzZj5
Our teams have been busy working with @EmiratesTeamNZ in the lead up to the @AmericasCup to maximise the potential of their sailing vessel and we’re thrilled that we can share more with you. (https://t.co/Za4nM5wYgM) 🎉
** Speaker announcement** Dr Torgyn Shaikhina, #DataScientist at QuantumBlack will explore actions that data practitioners can take to mitigate the impact of #COVID19 on models in development and deployment at Real AI 2020, a @BCS_SGAI event. Register => https://t.co/LfzqDDbvPu
Until recently, machine learning models for time series forecasting produced underwhelming results. That’s dramatically changing.
Join a discussion with AI leaders from @McKinsey’s QuantumBlack and Element AI to learn about game-changing advances. https://t.co/Z2rfWI8pdz
Kedro-Accelerator v0.1.0 is out!
Kedro-Accelerator is a #Python#plugin for #Kedro 0.16 that speeds up pipelines by parallelizing I/O in the background. Try the example today!
For more information, including sample benchmarks and how to get started, see https://t.co/qFPtRg68EA.
For data science teams working on advanced analytics and machine learning, the ‘next normal’ is rife with challenges. In this Medium article, Torgyn Shaikhina, Ioan Stanculescu, Carlo Giovine, Maren Eckhoff from QuantumBlack explore these challenges https://t.co/VRt4LkKCVR
Last night, at Boston Bayesians, we learned about advanced bayesian modeling of athlete performance, from Katy McKeough, of Harvard University. Thanks Katy for a fantastic presentation. And also a big thanks to @quantumblack for sponsoring the event.
https://t.co/vy2a97YYTR
The next meetup of Boston Bayesians is this Wednesday! Join us to learn more about bayesian modeling of athlete performance. Our speaker will be Katy McKeough, PhD student at the Department of Statistics at Harvard University. #DataScience
https://t.co/kMPseNt2D3
The 31st meeting of Boston Bayesians is on December 4th. Join us to learn more about bayesian models to predict athlete performance, from Katy McKeough, a PhD student at Harvard University. Thanks @QuantumBlack for sponsoring the event. #datascience
https://t.co/kMPseNt2D3