About this ebook
The data mining process flows, hosted in Jupyter notebooks along with the datasets in the cloud, are complete, and templates are fully populated for all main types of models. In fact, this book is where template-driven data analytics gets its start, but you will decide where it ends as it can be applied to limitless situations. While the backend technology is very advanced, you can use a Chromebook to build, run, and analyze professional-grade machine learning models using this guide.
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About the author
After a career in high-tech hardware and software with these accomplishments:
1) Participated in eight ventures, both entrepreneurial and intrapreneurial.
2) Conducted business in 25 countries and negotiated $100+ million in contracts.
3) Oversaw 12 product managers, who led 500 developers in enterprise software for the telecom industry, his genesis into business analytics.
4) Won an international award for technological achievement.
5) Led a most interesting life...and then
Dave decided to earn some college degrees, considering that he had none at the time. After receiving bachelor’s, master’s, and Ph.D. in succession, he became a college professor and spent the last seven years teaching and researching data analytics - all toward building a citizen data science philosophy and framework while searching for the toolkits that could bring data analytics to everyone. Success!
