About the Book
This e-book is derived from a Jupyter Notebook that I released on 2021-01-06 as part of a “challenge” on Kaggle.com – you can access the original file there.
If you do not know what I am referring to: a Jupyter Notebok is a way to have (online, on the cloud; or offline, on your computer) a tool that allows to “take notes” that contain executable code (e.g. in Python or R), usually to carry out some computation (e.g. Machine Learning creation and execution of a model) and produce visualizations.
So, why an e-book about what, in the end, is a data-based e-book already online?
The specific “challenge” was to analyze some data from a survey (the annual Kaggle survey between its own community), while providing both a data storytelling, i.e. telling a story via data and, of course, visualizations.
This book extracts the storytelling part (i.e. data, charts) without the programming code, but adding a deeper explanation of the rationale of choices.
As I wrote above, it is “derived from”, not just an e-book version of the Jupyter Notebook.
Also because, if anything, the reverse is true.
Along with this book and its attachments within Leanpub.com, there is also a GitHub repository: https://github.com/robertolofaro/ai-organizational-scalability-sample-databook
On 2021-01-29 released the free edition of the book, 174 pages- can be read online on issuu.com
This is the free version for online-reading only of the book with the same title that will be available on https://leanpub.com/ai-organizational-scalability by end February 2021
An experiment in transitioning to open data and free the approach to report writing done for decades with customers in activities in cultural, organizational, technological change
If you are just interested about the general concepts and approach, jump to Chapter 9 (a 10-pages narrative across the book, with hyperlinks to details)
The free version is here: https://issuu.com/robertolofaro/docs/ai-organizational-scalability-and-kaggle-survey_v1
The published edition uses hyperlinks to allow at least three different reading approaches, beside the usual sequential and serendipity-based: report structure, explanatory, and narrative about the future of Artificial Intelligence within a corporate environment
About the Author
change, with and without technology