How 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 AdventuresAug 14, 20193Aug 14, 20193
Published inTDS ArchiveScaling 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…Sep 5, 20185Sep 5, 20185
Published inTDS ArchiveWalkthrough: Getting started with Keras, using KaggleThis is a short post — the real substance is in the screencast below, where I walk through the code!Aug 14, 20182Aug 14, 20182
Published inTDS ArchiveDeploying 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…Aug 3, 20181Aug 3, 20181
Published inTDS ArchiveGet 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…Jul 31, 2018Jul 31, 2018
Published inTDS ArchiveGetting 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…Jul 11, 20187Jul 11, 20187
Published inTDS ArchiveCooking 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…Jul 3, 2018Jul 3, 2018
Published inTDS ArchiveBigQuery 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…Jun 12, 20183Jun 12, 20183
Published inTDS ArchiveQuick 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…May 7, 2018May 7, 2018
Published inTDS ArchiveVisualize 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.Mar 21, 20186Mar 21, 20186