36 min listen
Kaggle with Wendy Kan
ratings:
Length:
35 minutes
Released:
Jul 5, 2017
Format:
Podcast episode
Description
Wendy Kan joins your co-hosts
Francesc and
Mark 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
How SREs find the landmines in a service - CRE life lessons blog post
How HBO’s Silicon Valley built “Not Hotdog” with mobile TensorFlow, Keras & React Native Hackernoon
Interview
Kaggle home page
Kaggle Competitions list
Kaggle Datasets list
Tensorflow: An open-source software library for Machine Intelligence tensorflow.org
Keras: The Python Deep Learning library keras.io
Question of the week
How do you do client side load balancing with gRPC and Kubernetes?
Ray Tsang answers with a GitHub repo
Where can you find us next?
Francesc will be at GopherCon in Denver!
Mark will be speaking at Google Cloud Summit, New York with Phoenix One Games in July.
Francesc and
Mark 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
How SREs find the landmines in a service - CRE life lessons blog post
How HBO’s Silicon Valley built “Not Hotdog” with mobile TensorFlow, Keras & React Native Hackernoon
Interview
Kaggle home page
Kaggle Competitions list
Kaggle Datasets list
Tensorflow: An open-source software library for Machine Intelligence tensorflow.org
Keras: The Python Deep Learning library keras.io
Question of the week
How do you do client side load balancing with gRPC and Kubernetes?
Ray Tsang answers with a GitHub repo
Where can you find us next?
Francesc will be at GopherCon in Denver!
Mark will be speaking at Google Cloud Summit, New York with Phoenix One Games in July.
Released:
Jul 5, 2017
Format:
Podcast episode
Titles in the series (100)
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