Machine learning

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

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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
Model governance is the overall framework for how an organization controls their model development and deployment workflow. This includes setting the rules and controls for machine learning models in production, such as access control, testing, validation, and the tracing of model results.
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.
3 September 2020
8 min read
Bayesian ML is a paradigm for constructing statistical models based on Bayes’ Theorem. Learn more from the experts at Algorithmia.
2 September 2020
11 min read
XGBoost is a popular library among machine learning practitioners, known for its high performance and memory efficient implementation of gradient boosted decision trees. Since training and evaluating machine learning models on Jupyter notebooks is also a popular practice, we’ve developed a step-by-step...
27 August 2020
8 min read
Neural networks, as their name implies, are computer algorithms modeled after networks of neurons in the human brain. Learn more about neural networks.