Special topics in machine learning
Algorithmia is machine learning, managed. Deploy, serve, and manage your ML portfolio.
30 November 2020
2 min read
At Algorithmia, we take the security of your machine learning operations seriously. We’re happy to share that Algorithmia has successfully completed a Type 2 SOC 2 examination. read more
Sort by
19 October 2020
5 min read
The pandemic hit companies of every size and industry. Learn how top IT professionals are altering their focus on artificial intelligence and machine learning.
9 October 2020
7 min read
A machine learning development system can streamline individual algorithm processes and improve full pipeline management. Learn how with Algorithmia.
9 October 2020
10 min read
Machine learning is a growing technology, helping more businesses today than ever before. Learn how you can better manage ML initiatives with Algorithmia.
8 October 2020
7 min read
In this blog post, we discuss Spark and Spark Pipelines—and how you might be able to export a critical component from your Spark project to Algorithmia by using the MLeap model interchange format and runtime.
28 September 2020
6 min read
Learn about how predictive analytics solutions shape decisions across every industry, including sales, insurance, oil and gas, and more.
27 September 2020
4 min read
An artificial intelligence framework allows for easier and faster creation of AI applications. These include machine learning, deep learning, neural networks, and NLP (natural language processing) solutions.
27 September 2020
3 min read
Text analytics is the automated process of translating unstructured text into data which can be analyzed for patterns, trends, and insights.
27 September 2020
4 min read
Active learning is the subset of machine learning in which a learning algorithm can query a user interactively to label data with the desired outputs.
21 September 2020
4 min read
Algorithmia enables data science teams to deploy models from many different model training platforms, including Amazon SageMaker. SageMaker provides different components such as notebooks and training jobs that enable developers and data scientists to build and train machine learning models. The ability...
11 September 2020
4 min read
A machine learning framework is an interface that allows developers to build and deploy machine learning models faster and easier. A tool like this allows enterprises to scale their machine learning efforts securely while maintaining a healthy ML lifecycle.