10 Blogs from Rock-star Data Scientists
Here's our selection for today. We will continue to post articles from highly respected data scientists in the coming weeks.
- 7 Traps to Avoid Being Fooled by Statistical Randomness - By Kirk Borne
- How You Can Improve Customer Experience With Fast Data Analytics - By Ronald van Loon
- 15 Astonishing Tweetable Facts About Analytics - By Bernard Marr
- Making data science accessible – Neural Networks - By Dan Kellett
- Solving problems with DataScience for Internet of Things - By Ajit Jaokar
- Need for DYNAMICAL ML: Bayesian exact recursive estimation - By PG Madhavan
- 8 Types of Data - By Bob Hayes
- A Statistician's View on Big Data and Data Science - By Diego Kuonen
- Learning R in Seven Simple Steps - By Martijn Theuwissen
- Statistics is Dead – Long Live Data Science - By Lee Baker
Enjoy the reading!
Comment
-
Comment by Prof. Dr. Diego Kuonen on August 29, 2016 at 11:13pm -
Note that there is an updated version (as of August 2016) of my presentation
A Swiss Statistician's 'Big Tent' Overview of Big Data and Data Science
in Pharmaceutical Development (Version 12)
at goo.gl/0C78wy and/or goo.gl/dsXco1
-
Comment by PG Madhavan on July 27, 2016 at 4:56pm -
Thank you for including my blog in this impressive list of blogs! For an expansion of the topics of my blog -
My new book, “Systems Analytics” is published TODAY!
https://www.createspace.com/6454927
This book brings Systems Theory and Machine Learning together for the first time (as far as I know).
In this book, I introduce DYNAMICAL machine learning and make it accessible because of its demonstrated value and future promise to revolutionize Data Science . . . I am working on making it happen in my own small way.
PG
-
Comment by Lee Baker on July 27, 2016 at 1:57pm -
@Vincent
It's been a long time since I was last called a rock star!
I appreciate the share - thanks Vincent.
-
Comment by PG Madhavan on July 27, 2016 at 11:39am
-
Thanks, Vincent!
© 2018 Data Science Central ®
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
You need to be a member of Data Science Central to add comments!
Join Data Science Central