Machine learning

Algorithms that independently learn to make predictions and decisions after training on datasets instead of being explicitly programmed.

Sort by
21 February 2019
5 min read
Asking a data scientist to work with only one framework is like asking a carpenter to work with only a hammer. It’s essential that professionals have access to all the right tools for the job. It’s time to rethink best practices for leveraging and building ML infrastructure and set the precedent...
17 January 2019
5 min read
Machine learning (ML) will drastically alter how many industries operate in the future. Natural language processing will enable seamless and instantaneous language translation, forecasting algorithms will help predict environmental trends, and computer vision will revolutionize the driverless car industry....
20 December 2018
2 min read
Azure Blob and Google Cloud Storage In an effort to constantly improve products for our customers, this month we introduced two additional data providers into Algorithmia’s data abstraction service: Azure Blob Storage and Google Cloud Storage. This update allows algorithm developers to read and write...
12 December 2018
3 min read
Sometimes the best advertising is a small, nondescript company name etched onto an equally nondescript door in a back alley, only accessible by foot traffic. Lucky for us, Paul Borza of TalentSort—a recruiting search engine that mines open-source code and ranks software engineers based on their skills—was...
7 December 2018
4 min read
As 2018 comes to a close, we’d like to take a look back to see how our readers have interacted with our blog, which articles were the most read, and what that could tell us about the field of machine learning writ large. We know 2019 will be a year of tremendous progress in tech, and we’re...
21 November 2018
2 min read
At Algorithmia, we have much to be thankful for—it’s even one of our core tenets. So in light of Thanksgiving, we have compiled a list of all that we’re particularly appreciative of this year. Some of our staff are thankful for the little things—snacks and a dog-friendly office—and...
14 November 2018
2 min read
At Algorithmia, we strive first and foremost to meet customer needs, and we’re releasing a new feature within the AI Layer to help you conduct model comparison. Model Evaluations is a machine learning tool that lets you create a process for running models concurrently to gauge performance. You can...
25 October 2018
5 min read
In part two of our blog series about machine learning in the enterprise, we talk briefly about some of the most common use cases for machine learning. Larger companies produced the widest variety of use cases, however, there was no one single area of focus. Despite such varied answers on where companies...
18 October 2018
5 min read
Key Findings in a Survey of 500+ Machine Learning Professionals Earlier this year we set out to understand how organizations are reacting and adapting to machine learning, its rate of adoption in the marketplace, and how the industry is evolving. We wanted to understand what our customers’ challenges...
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...