Yufeng GHow to Upgrade Colab with More ComputeLearn how to use Google Cloud Platform’s Deep Learning VMs to power up your Colab environment, on this episode of AI Adventures4 min read·Aug 14, 2019--3--3
Yufeng GinTowards Data ScienceScaling up Keras with EstimatorsDid you know that you can convert a Keras model to a TensorFlow Estimator? It will give you a whole host of options around distributed…2 min read·Sep 5, 2018--5--5
Yufeng GinTowards Data ScienceWalkthrough: Getting started with Keras, using KaggleThis is a short post — the real substance is in the screencast below, where I walk through the code!2 min read·Aug 14, 2018--2--2
Yufeng GinTowards Data ScienceDeploying scikit-learn Models at ScaleScikit-learn is great for putting together a quick model to test out your dataset. But what if you want to run it against incoming live…4 min read·Aug 3, 2018--1--1
Yufeng GinTowards Data ScienceGet going with Scikit-Learn on KaggleScikit-learn has long been a popular library for getting started with machine learning. However, not everyone has had a chance to try it…3 min read·Jul 31, 2018----
Yufeng GinTowards Data ScienceGetting started with AutoML Vision alphaOne of the top things that I get asked about when I give talks is Google Cloud AutoML. Let’s use AutoML Vision alpha to build and deploy a…8 min read·Jul 11, 2018--7--7
Yufeng GinTowards Data ScienceCooking up a data science project using Kaggle Datasets and KernelsOn this episode of AI Adventures, I’ve asked Megan Risdal, Product Lead of Kaggle Datasets, to give us a tour of some of the latest…2 min read·Jul 3, 2018----
Yufeng GinTowards Data ScienceBigQuery Public DatasetsThe only thing better than data is big data! But getting your hands on large datasets is no easy feat. From unwieldy storage options to…3 min read·Jun 12, 2018--3--3
Yufeng GinTowards Data ScienceQuick Draw: the world’s largest doodle datasetA team at Google set out to make the game of pictionary more interesting, and ended up with the world’s largest doodling dataset, and a…4 min read·May 7, 2018--1--1
Yufeng GinTowards Data ScienceVisualize your data with FacetsData is messy. It’s often unbalanced, mislabeled, and sprinkled with wacky values to throw off your analysis and machine learning training.6 min read·Mar 21, 2018--6--6