Michal Brys

Data Scientist

[Michal Brys @MichalBrys]

Quick introduction to @kubeflow — a machine learning toolkit for @kubernetesio https://t.co/Xd7GcUwyw1 @TensorFlow @GCPcloud

[TensorFlow @TensorFlow]

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 → https://t.co/M3Dj6FfxPz

[TensorFlow @TensorFlow]

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 → https://t.co/X9ZefNijP9

[Michal Brys @MichalBrys]

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

https://t.co/5C0i7RBOGK

[Josh Baer @jbx____]

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!

[Michal Brys @MichalBrys]

Highlights from @kubeflow Summit, October 2019
https://t.co/wgAEfgaNt9

#kubeflow #tensorflow #tfx #gcp

[TensorFlow @TensorFlow]

🗣 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 → https://t.co/bzI1vDZDnV

[TensorFlow @TensorFlow]

🎉 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 ↓ https://t.co/eUKQVZ4HmS

[Kubeflow @kubeflow]

Great post that maps out Kubeflow's components:

[TensorFlow @TensorFlow]

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 ↓ https://t.co/wuWUbwZpid

[Michal Brys @MichalBrys]

@jdgalarneau @Columbia Good luck!

[Jake VanderPlas @jakevdp]

In case you missed it: @GoogleColab can open any @ProjectJupyter notebook directly from @github!

To run the notebook, just replace "https://t.co/MKWVn09p42 " with "https://t.co/gLpXEaax1f " in the notebook URL, and it will be loaded into Colab.

[Laurent Picard @PicardParis]

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

[Mark Edmondson @HoloMarkeD]

CloudML for R https://t.co/5JRa5M37c1 - 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.

[TensorFlow @TensorFlow]

We are so excited to announce the Developer Preview of #TensorFlowLite!

Read all about it in our blogpost → https://t.co/OhP8Z9dEiO

[Databricks @databricks]

Introducing the Natural Language Processing Library for #ApacheSpark https://t.co/M0UaKhi6bn

[Mark Edmondson @HoloMarkeD]

Merging two GA data extracts in BigQuery to one using DataPrep to create a DataFlow

[Michal Brys @MichalBrys]

Build you own image classifier using Gooogle Cloud ML and @TensorFlow https://t.co/2XTXqLwnIV #datascience #machinelearning

[Michal Brys @MichalBrys]

Style-transfer neural network
https://t.co/vdFSNw9qfb
#datascience #machinelearning

[Michal Brys @MichalBrys]

Cloud #MachineLearning + image classification using #tensorflow - my talk on https://t.co/kZZQcinNRq @tensorflow @googIecloud #DataScience