Machine learning

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

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15 August 2019
3 min read
Are you an experienced fullstack developer looking to bring machine learning to your apps? Or are you an ML expert who wants to build a website to have a place to show off your models? In any event, the process of bringing AI to applications can be laborious and confusing—but it doesn’t have to...
9 August 2019
5 min read
As companies begin developing use cases for machine learning, the infrastructure to support their plans must be able to adapt as data scientists experiment with new and better processes and solutions. Concurrently, organizations must connect a variety of systems into a platform that delivers consistent...
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...
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:...
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...
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...
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...