Machine Learning
What is it and why is it so important now?

Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.

Thanks to technological evolutions, reduction of processing costs and availability of new powerful algorithms, this method is becoming more and more accessible.

Learn how SAS can help you make strategic and impactful business decisions by taking advantage of machine learning.

What's required to create good machine learning systems?

Data preparation capabilities
Algorithms - basic and advanced
Automation and iterative processes

Scalability
Ensemble modelling

Read: The Evolution of Analytics

Webinar: Introduction to Machine Learning

The Three A's of Machine Learning: Algorithms, Automation, Accessibility

Different organisations are finding success with machine learning, by feeding the creativity of data scientists,
providing analytic accessibility to business experts, and pushing the analytics closer to the data.

This session will outline how organisations are enabling decisions at scale with new analytics, new data,
and new business problem domains, ultimately creating real competitive advantage.

Play video

Evolution of Analytics

This O’Reilly report talks about the opportunities for using machine learning in business:

The momentum of machine learning in the analytics landscape
Modern applications for machine learning
Organizational and technological challenges

Read now

Introduction to Machine Learning

Watch this webinar to learn more about

The future of machine learning, cognitive computing and robot learning
4 key focus areas of machine learning
Hints and tips on making machine learning work for you

Watch now

Contact us

Get in touch to take the next step toward getting more value from your data.

Machine Learning
What is it and why is it so important now?

Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.

Thanks to technological evolutions, reduction of processing costs and availability of new powerful algorithms, this method is becoming more and more accessible.

Learn how SAS can help you make strategic and impactful business decisions by taking advantage of machine learning.

What's required to create good machine learning systems?