Bill Schmarzo’s Retrospective: Data Science, ML, Big Data Analytics, and more
Bill Schmarzo, also known as the “Dean of Big Data” is CTO at Hitachi Vantara, and former CTO at Dell EMC. He authored a series of articles on analytic applications, and is on the faculty of TDWI teaching a course on “Thinking Like A Data Scientist”. Bill is the author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science.” Bill is also an Executive Fellow at the University of San Francisco School of Management, and Honorary Professor at NUI Galway at NUI Galway J.E. Cairnes School of Business & Economics.
Below are some of hist most popular articles posted on DSC.
Identifying Variables That Might Be Better Predictors
What tomorrow’s business leaders need to know about Machine Learning?
Design Thinking: Future-proof Yourself from AI
Lessons in Becoming an Effective Data Scientist
It’s Not Digital Transformation; It’s “Intelligence Transformation” We Seek
Why Is Data Science Different than Software Development?
The 3 Phases of Digital Transformation
5 Steps to Building a Big Data Business Strategy
Can Design Thinking Unleash Organizational Innovation?
Economics, Monetization and the “New Order” Automobile Industry
Understanding Type I and Type II Errors
Importance of Metadata in a Big Data World
Data Lake Business Model Maturity Index
Using Confusion Matrices to Quantify the Cost of Being Wrong
Crossing the Big Data / Data Science Analytics Chasm
Using Data Analytics to Prevent, Not Just Report
Understanding Behavioral Economics to Change Behaviors with Big Data
Data Engineers: Nobody Puts Baby in a Corner!
The Future Is Intelligent Apps
Golden State Warriors Data Analytics Exercise
The Danger of Pursuing Customer 360 View
Blockchain + Analytics: Enabling Smart IOT
3 Theorems on the Economic Value of Data
Other DSC Resources
Book and Resources for DSC Members
Comprehensive Repository of Data Science and ML Resources
Advanced Machine Learning with Basic Excel
Difference between ML, Data Science, AI, Deep Learning, and Statistics
Selected Business Analytics, Data Science and ML articles
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Link: Bill Schmarzo’s Retrospective: Data Science, ML, Big Data Analytics, and more