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. When faced with hundreds of variables, a human’s ability to efficiently identify new insights or detect changing patterns manually has also been exceeded. To address these challenges, BI and analytics professionals are adopting user-friendly, automated machine learning solutions.
In this on-demand webinar, recognized analytics industry expert Jen Underwood discusses how BI and analytics professionals can get started with automated machine learning.
- 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