Figure 1.1: Book to be available soon.
This book is still very much a draft, but it is the first book of its kind, so you might find it useful in its current form. Some highlights:
greta, an R interface to
TensorFlowfor Bayesian inference and the
causactpackage for visual model development.
To use some of the datasets and functions that accompany this book, you will eventually need to install the
causact R package (if you do not know how to do this yet, no worries … you will learn how to run the below line of code using RStudio in the introductory chapters):
You will most likely use this package with
R package) and
TensorFlow (a free and open-source software library). Properly installing
Tensorflow can be done by following the instructions here: https://www.causact.com/install-tensorflow-greta-and-causact.html.
If you want to jump to
causact package specifics, start here: https://www.causact.com/causact-quick-inference-with-generative-dags.html#causact-quick-inference-with-generative-dags.
Please note that this work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (https://creativecommons.org/licenses/by-nc-nd/4.0/). To support this work send feedback/follow me via Twitter:Follow (???)
and please stay tuned to this page for the launch of the upcoming printed version.
A Business Analyst’s Introduction to Business Analytics by Adam Fleischhacker is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.