Knowledge Bank
Machine Learning
Machine Learning can be used to drive growth through better predictions, automation and optimization. Here we walk through the entire process, from identifying problems to validating that the model actually drives business results.
Articles on Machine Learning
Machine Learning for Growth
How to use machine learning to drive growth. From problem identification to implementation and iteration.
Identify and Quantify the Problem
The first step in an ML project: how to identify and quantify the problem that machine learning should solve.
Data Collection
Guide to data collection for machine learning projects. Data sources, quality and preprocessing of training data.
Apply Data to the Problem
How to apply data to the problem with the right ML model. From feature engineering to model selection and training.
Iterate Data Quality or Find New Data
How to improve model performance by iterating on data quality or finding new data sources for better results.
Ensure Impact on Results
How to validate that your ML model actually drives business results. From offline metrics to A/B testing in production.
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Dive deeper into other areas of growth marketing and data-driven growth.
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