Top November Stories: Trump, Failure of Prediction, and Lessons for Data Scientists
Gregory Piatetsky-Shapiro
![Gregory Piatetsky-Shapiro]()
Gregory Piatetsky-Shapiro
Part-time philosopher, Retired, Data Scientist, KDD and KDnuggets Founder, was LinkedIn Top Voice on Data Science & Analytics. Currently helping Ukrainian refugees in MA.
Most Viewed
- Trump, Failure of Prediction, and Lessons for Data Scientists, by Gregory Piatetsky
- How Bayesian Inference Works, by Brandon Rohrer
- Top 20 Python Machine Learning Open Source Projects, updated, by Prasad Pore
- Top 10 Amazon Books in Data Mining, 2016 Edition, by Matthew Mayo
- Learn Data Science for Excellence and not just for the Exams
- An Intuitive Explanation of Convolutional Neural Networks
- Data Science 101: How to get good at R
- Eight Things an R user Will Find Frustrating When Trying to Learn Python
- Tips for Beginner Machine Learning/Data Scientists Feeling Overwhelmed
- Combining Different Methods to Create Advanced Time Series Prediction
Most Shared
Trump, Failure of Prediction, and Lessons for Data Scientists, by Gregory Piatetsky
Learn Data Science for Excellence and not just for the Exams, by Prasad Pore
How Bayesian Inference Works, by Brandon Rohrer
Machine Learning vs Statistics, by Aatash Shah
Top 10 Amazon Books in Data Mining, 2016 Edition
Top 20 Python Machine Learning Open Source Projects, updated
Continuous improvement for IoT through AI / Continuous learning
Data Science and Big Data, Explained
Data Science Basics: An Introduction to Ensemble Learners
Combining Different Methods to Create Advanced Time Series Prediction
Read on KDnuggets https://www.kdnuggets.com/2016/12/top-stories-2016-nov.html
Computation from first principles
7 年Isaac Asimov once looked seriously at predicting the course of humanity using mathematics, but he missed Bayesian methods entirely. We have become mesmerized by statistics and big data.