Advanced Data Science for Public Health

Advanced Data Science for Public Health

Preface
1 Introduction
2 Interactive graphics
3 Advanced web scrapping
4 Databases
5 Pipelines
6 Data structures
7 DIY ML/AI
8 Working with images
9 Convolutional AI
10 Unsupervised learning
11 Variational autoencoders
12 NLP
13 Measurement
14 Data science, conceptually
15 Statistics and language
16 Data science as an applied science
17 Theory of graphical display
18 Causal DAGs
19 Machine learning validation
20 Ethics
References

Table of contents

Preface

Advanced Data Science for Public Health

Author

Brian Caffo

Published

July 7, 2022

Preface

This is a Quarto book.

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