Sort by
31 July 2019
9 min read
Tableau combines the ease of drag-and-drop visual analytics with the flexibility to dynamically integrate data from analytical systems. Algorithmia lets analysts go even further, extending worksheets with machine learning (ML) and allowing for the execution of Java, Node.js, Python, R, Ruby, Rust, and...
5 July 2019
8 min read
Developing processes for integrating machine learning within an organization’s existing computational infrastructure remains a challenge for which robust industry standards do not yet exist. But companies are increasingly realizing that the development of an infrastructure that supports the seamless...
27 June 2019
4 min read
Natural language processing (NLP) is one of the fastest evolving branches in machine learning and among the most fundamental. It has applications in diplomacy, aviation, big data sentiment analysis, language translation, customer service, healthcare, policing and criminal justice, and countless other...
21 June 2019
5 min read
“Our machine learning infrastructure is a great big Frankenstein of one-offs,” said one data scientist at our Seattle Roadshow. Heads nodded. Every time his data-driven organization needs to integrate with a new system, software development teams hardcode dependencies and schedule jobs inside their...
13 June 2019
2 min read
We spend a lot of time focused on giving data scientists the best experience for deploying their machine learning models. We think they should not only use the best tools for the job, they should also be able to integrate their work easily with other tools. Today we’ll highlight one such integration:...
14 May 2019
3 min read
We are extremely thankful for our customers and their trust in us, and we want to share this news with them first and foremost. This funding enables us to double-down on developing the infrastructure to scale and accelerate their machine learning efforts.  We are also thrilled to welcome Norwest Venture...
1 May 2019
4 min read
Every quarter, we talk with more than a hundred companies working to productionize their machine learning. We see a clear path out of the stage many companies cannot get past: operationalizing the model deployment process. The problem Massive effort goes into any well-trained model—research shows that...
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,...
14 March 2019
3 min read
Algorithmia developers unveiled a new UI on our user platform this week. Now, when you log into Algorithmia, you’ll see a personalized dashboard with your account information and recent activity, enabling easy account management and navigation. This change comes about as we mark the four-year anniversary...
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...