Sara Robinson – Medium

Dec 17, 2018

SQL or ML? The same dataset, two ways.

This is the second post in a two-part series going through my “when to use machine learning” flowchart: The first post focused on two things: Figuring out whether you want to use your data for generating future predictions or historical trend analysis. If it’s the latter, you don’t need ML …

Machine Learning

10 min read

Published in HackerNoon.com

·Nov 14, 2018

Machine learning on machines: building a model to evaluate CPU performance

Wouldn’t it be cool if we could train a machine learning model to predict machine performance? In this post, we’ll look at a linear regression model I built using BQML to predict the performance of a machine given hardware and software specifications. All of the work I do is software…

Machine Learning

8 min read

Nov 8, 2018

When should you use machine learning? — Part 1

I’m constantly fascinated by machine learning and always excited to find new projects for it. But as trendy as ML has become, sometimes a SQL query or IF statement can accomplish the same job as an ML model in much less time. …

Machine Learning

8 min read

Nov 1, 2018

Classifying congressional bills with machine learning

I’m always looking for new datasets for ML projects, so I was particularly excited to discover this public domain dataset of ~400k congressional bills. The dataset has 20+ data points for each bill. Here’s an example a subset of this data for one bill: Title: A bill to provide for…

Machine Learning

5 min read

Oct 8, 2018

Crowdsourcing ML training data with the AutoML API and Firebase

Want to build an ML model but don’t have enough training data? In this post I’ll show you how I built an ML pipeline that gathers labeled, crowdsourced training data, uploads it to an AutoML dataset, and then trains a model. I’ll be showing an image classification model using AutoML…

Machine Learning

4 min read

Crowdsourcing ML training data with the AutoML API and Firebase

Published in HackerNoon.com

·Aug 27, 2018

Query a custom AutoML model with Cloud Functions and Firebase

If you haven’t heard about AutoML yet, it‘s the newest ML offering on Google Cloud and lets you build custom ML models trained on your own data — no model code required. It’s currently available for images, text, and translation models. …

Firebase

5 min read

Aug 20, 2018

Building a ML keynote demo for 100,000+ people

Did you miss the AutoML announcements and demos during the Cloud Next ’18 keynote? I‘ve got you covered! In this post I’ll provide an overview of the AutoML products launched and the demos I showed during the keynote. …

Machine Learning

10 min read

Building a ML keynote demo for 100,000+ people

Published in TensorFlow

·Apr 23, 2018

Predicting the price of wine with the Keras Functional API and TensorFlow

Can you put a dollar value on “elegant, fine tannins,” “ripe aromas of cassis,” or “dense and toasty”? It turns out a machine learning model can. In this post I’ll explain how I built a wide and deep network using Keras (tf.keras) to predict the price of wine from its…

Machine Learning

9 min read

Predicting the price of wine with the Keras Functional API and TensorFlow

Published in Towards Data Science

·Jan 2, 2018

Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift

Note: as of this writing there is no official TensorFlow library for Swift, I used Swift to build the client app for prediction requests against my model. This may change in the future, but Taylor has the final say on that. Here’s what we’re building:

Machine Learning

11 min read

Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift

Oct 26, 2017

Adding Computer Vision to your iOS App

Recently I’ve been using the Google Cloud Machine Learning APIs with Node.js and Python, but I wondered — wouldn’t it be cool if there was an easy way to add them to a mobile app? That’s where the magic of Firebase comes in. I built an iOS app in Swift…

Swift

4 min read