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Quick introduction to @kubeflow — a machine learning toolkit for @kubernetesio medium.com/@michal.brys/kube… @TensorFlow @GCPcloud
Michal Brys retweeted
At @maiotees, #tfx is an important building block of their core engine. Learn how TFX enables PCA on compute clusters in this guest blog post from Hamza Tahir!
Learn more → goo.gle/2Tee4HG
Michal Brys retweeted
Customize TFX behavior in more ways! ✍️
Want to go even deeper than custom executors? See how you can write completely new components and use it in pipelines too.
Read the blog → goo.gle/2RGro6S
See you at BigDataTech Warsaw 2020!
With Michal Zylinski from @Google we'll discuss how to build fast, scalable ML pipelines using #tensorflow #kubeflow #tfx
#bdtws2020 #bigdatatechwarsaw2020
bigdatatechwarsaw.eu/?utm_so…
Michal Brys retweeted
It's been great to have @TonyJebara join our @SpotifyEng team and bring his years of Netflix experience to our ML teams! Personalization is getting better already!
Personalization of Spotify Home and #TensorFlow: @TonyJebara on the different magnitude of data analytics requirements @Spotify vs @Netflix
#TFWorld #MachineLearning
Highlights from @kubeflow Summit, October 2019
medium.com/@michal.brys/high…
#kubeflow #tensorflow #tfx #gcp
Michal Brys retweeted
🗣 Attention #TensorFlow community!
We are excited to announce TensorFlow 2.0. Inspired by all of your feedback, this powerful and easy-to-use framework includes tight Keras integration, expanded TF datasets, and more.
Watch @lmoroney present here → goo.gle/2nTRZCp
Michal Brys retweeted
🎉 The wait is over! TensorFlow 2.0 is finally here.
Driven by community feedback, this release provides a complete set of tools for developers, enterprises, and researchers to easily build ML applications.
Read the blog ↓ goo.gle/TF2rel
Michal Brys retweeted
Great post that maps out Kubeflow's components:
Quick introduction to @kubeflow — a machine learning toolkit for @kubernetesio medium.com/@michal.brys/kube… @TensorFlow @GCPcloud
Michal Brys retweeted
You’ve got an amazing ML application, but how do you make it available to the world? Learn how in “TensorFlow Extended (TFX) Real World Machine Learning in Production”.
Read here ↓ goo.gle/2Lm7MUa
Michal Brys retweeted
In case you missed it: @GoogleColab can open any @ProjectJupyter notebook directly from @github!
To run the notebook, just replace "github.com/ " with "colab.research.google.com/gi… " in the notebook URL, and it will be loaded into Colab.
Michal Brys retweeted
Join me today at #14sfikrakow. We'll see how anyone can use Machine Learning without any knowledge in AI. Is a neural network able to recognize the Wawel Dragon? Let's dare to check ;)
@sfikrakow #MachineLearningAPI
Michal Brys retweeted
CloudML for R tensorflow.rstudio.com/blog/… - we use CloudML to scale our Tensorflow implementations - serverless, scales from 0 to a billion, latency at 0.2 seconds, opens up horizons. Custom machine learning at scale.
Michal Brys retweeted
We are so excited to announce the Developer Preview of #TensorFlowLite!
Read all about it in our blogpost → goo.gl/a9czwZ
Michal Brys retweeted
Introducing the Natural Language Processing Library for #ApacheSpark dbricks.co/2m3MEqJ
Michal Brys retweeted
Merging two GA data extracts in BigQuery to one using DataPrep to create a DataFlow
Build you own image classifier using Gooogle Cloud ML and @TensorFlow github.com/GoogleCloudPlatfo… #datascience #machinelearning
Cloud #MachineLearning + image classification using #tensorflow - my talk on pydata.org/warsaw2017/ @tensorflow @googIecloud #DataScience – at Krakow, Poland
We're looking for #DataScientist to our team in #Krakow (PL) and Pasadena (US). Check details: grnh.se/pxolhk1
#Jobs #DataScience – at Krakow, Poland

















