Index
A
- A/B testing
- models, iterating / Iterating on models through A/B testing
- experimental allocation / Experimental allocation – assigning customers to experiments
- sample size, deciding / Deciding a sample size
- multiple hypothesis testing / Multiple hypothesis testing
- adjacency matrix / Where agglomerative clustering fails
- affinity propagation
- cluster numbers, selecting automatically / Affinity propagation – automatically choosing cluster numbers
- agglomerative clustering
- about / Agglomerative clustering
- failures / Where agglomerative clustering fails
- Alternating Least Squares (ALS) / Case Study: Training a Recommender System in PySpark
- Amazon Web Services (AWS) / Working in the cloud
- analytic pipeline
- data splitting / Modeling layer
- parameter tuning / Modeling layer
- model performance / Modeling layer
- model persistence / Modeling layer
- analytic solution, advanced
- designing / Designing an advanced analytic...
