Data science can be daunting, but you don’t necessarily need to understand the complex math behind machine learning algorithms to succeed. Adswerve Data Scientist Christopher Wilson is an expert at simplifying complex data science topics for marketers. Check out our recent webinar as he covers common marketing problems you can solve with machine learning.
Christopher shares his approach to data science and how you can use machine learning algorithms like Linear Regression, K Means Clustering, Random Forests and Shapley Value for:
- Attribution: Attributing fractions of conversion value to user actions/site features/etc.
- Clustering: Understanding groups of users, target behaviors to move users across groups
- Propensity Modeling: Predicting the likelihood of users to convert within a certain amount of time
He also discusses the concept of immature and mature data including a live Q&A session.
Watch to learn more about how you can use data science to improve your marketing programs!
Data Science 101: Solving Marketing Challenges With Machine Learning
Featuring Adswerve Data Scientist Christopher Wilson
Now Available On-Demand