Machine learning has become a competitive differentiator in a big data world. Vast amounts of data are already overwhelming existing BI tools and analytics processes. A new class of augmented analytics tools is making it possible for data analysts and leaders alike to take machine learning and AI initiatives into their own hands.
In this on-demand webinar, recognized analytics industry expert Jen Underwood discusses how BI and analytics professionals can get started with automated machine learning, and enable your organization to do more with the resources you already have.
- An Introduction to Machine Learning
- Popular Machine Learning Use Cases
- CRISP-DM Methodology
- Common Algorithms: Regression, Clustering, Classifiers, and more
- How to Get Started with Automated Machine Learning