At the end of this lesson you will be able to: Define the central dogmas of prediction and inference Identify the key components of a modeling process (signal, systematic noise, random noise) Apply the steps in statistical modeling for data science Know how to use “wrong” models to get correct inference for specific trends
JHU ADS 2020 Week 8 - Modeling Data
JHU ADS 2020 Week 8 - Modeling Data
JHU ADS 2020 Week 8 - Modeling Data
At the end of this lesson you will be able to: Define the central dogmas of prediction and inference Identify the key components of a modeling process (signal, systematic noise, random noise) Apply the steps in statistical modeling for data science Know how to use “wrong” models to get correct inference for specific trends