Machine learning

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

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20 October 2020
6 min read
While both work with data, the way they use data differs. Learn more about the difference between a data scientist and a data analyst in their skillset, job function, and demand.
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.
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
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.
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.
11 September 2020
4 min read
Just like any software, it’s important to keep machine learning models secure during development and production stages. Learn more from Algorithmia.
11 September 2020
6 min read
AI/ML model governance is the overall framework for how an organization controls access, implements policy, and tracks activity for models.
11 September 2020
7 min read
Learn everything you need to know about artificial intelligence from Algorithmia.
10 September 2020
7 min read
Learn all about ML pipelines. How they benefit an organization and how you can implement this technology in your organization.