Posts by Stephanie Kim
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13 March 2020
3 min read
Here at Algorithmia, we have written and talked extensively about the challenges of deploying machine learning models at scale and the importance of data access in general machine learning development and infrastructure. When it comes down to it, ML is critical for any modern company to remain competitive.  Machine...
20 February 2020
5 min read
As a data scientist or machine learning engineer, your specialty is building out robust machine learning models. Your purpose is to make a positive impact on your business by offering data insights, reducing costs, increasing revenue, or even generating customer delight. As your collection of models...
19 December 2019
3 min read
Simplifying model deployment  Deploying models should be an uncomplicated endeavor. To that end, Algorithmia continually aims to ensure machine learning’s value is seen, which means getting to model deployment as quickly and as painlessly as possible. Fortunately, there are many paths to get there. A...
22 November 2019
5 min read
Recently, Algorithmia ventured from Seattle to London to discover what was happening at the Big Data London (BDL) conference in Kensington. We had great conversations with data engineers, data analysts, and business leaders about how Algorithmia makes it easy to deploy machine learning models into production....
8 April 2019
7 min read
For all the time that it takes to clean your data, train and test your model, then tune your model hyperparmeters, and further re-train and test your model, you’re not done until it’s deployed into production. Because what good is a model that’s just sitting on your laptop? In this tutorial,...
4 October 2018
9 min read
The language you use to create a model can make it easier or harder to deploy into production. While the R programming language makes it easy to compare different models against each other and makes data exploration and visualization a breeze using R Studio, it’s not always the easiest language to...
23 May 2018
20 min read
Anyone who is interested in deep learning has likely gotten their hands dirty at some point playing around with Tensorflow, Google’s open source deep learning framework. Tensorflow has a lot of benefits like wide-scale adoption, deployment on mobile, and support for distributed computing, but it...
16 May 2018
19 min read
User experience and customer support are integral to every company’s success. But it’s not easy to understand what users are thinking or how they are feeling, even when you read every single user message that comes in through feedback forms or customer support software. With Natural Language...
22 February 2018
19 min read
Whether you’re a scientist analyzing earthquake data to predict the next “big one”, or are in healthcare analyzing patient wait times to better staff your ER, understanding time series data analysis is crucial to making better, data informed decisions. This gentle introduction to time series will...
22 February 2018
19 min read
Whether you’re a scientist analyzing earthquake data to predict the next “big one”, or are in healthcare analyzing patient wait times to better staff your ER, understanding time series analysis is crucial to making better, data informed decisions. This gentle introduction to time series analysis...