Wendy Kan (https://twitter.com/wendykan) joins your co-hosts

Francesc (https://twitter.com/francesc) and

Mark (https://twitter.com/Neurotic) today to talk about Kaggle, their competitions,

and the cool data sets available on their platform.

Kaggle joined the Google family a few months ago, so it’s a great opportunity to know more about

the platform and the amazing community behind it.

About Wendy Kan

Wendy is a data scientist at Kaggle, the largest global data science community.

Wendy works with companies and organizations to transform their data into machine

learning competitions and had launched over 50 competitions on various topics such

as image classification, revenue prediction, GIS and satellite data, click through

rate, customer categorization, and real estate prediction. She was a software

engineer and researcher before joining Kaggle. She holds BS and MS degrees in

Electrical Engineering from National Tsing Hua University and PhD in Biomedical

Engineering from The University of Texas at Austin.

Cool things of the week

* Google App Engine standard now supports Java 8 announcement (https://cloudplatform.googleblog.com/2017/06/Google-App-Engine-standard-now-supports-Java-8.html)

* How SREs find the landmines in a service - CRE life lessons blog post (https://cloudplatform.googleblog.com/2017/06/how-SREs-find-the-landmines-in-a-service-CRE-life-lessons.html)

* How HBO’s Silicon Valley built “Not Hotdog” with mobile TensorFlow, Keras & React Native Hackernoon (https://hackernoon.com/how-hbos-silicon-valley-built-not-hotdog-with-mobile-tensorflow-keras-react-native-ef03260747f3)

Interview

* Kaggle home page (https://www.kaggle.com/)

* Kaggle Competitions list (https://www.kaggle.com/competitions)

* Kaggle Datasets list (https://www.kaggle.com/datasets)

* Tensorflow: An open-source software library for Machine Intelligence tensorflow.org (https://www.tensorflow.org/)

* Keras: The Python Deep Learning library keras.io (https://keras.io/)

(../images/post/kaggle.png)

Question of the week

How do you do client side load balancing with gRPC and Kubernetes?

* Ray Tsang answers with a GitHub repo (https://github.com/saturnism/grpc-java-demos/tree/master/kubernetes-lb-example)

Where can you find us next?

Francesc will be at GopherCon (https://www.gophercon.com/) in Denver!

Mark will be speaking at Google Cloud Summit, New York (https://cloudplatformonline.com/summit-NewYork-2017.html) with Phoenix One Games in July.(http://feeds.feedburner.com/~r/GcpPodcast/~4/FL24943NyxM)