Gregory Piatetsky-Shapiro, PhD, is the President of KDnuggets, and a top influencer in Big Data, Data Mining, and Data Science. He is a co-founder of KDD, the leading research conference on Data Mining and Data Science, and co-founder and past chair of ACM SIGKDD. He was a Chief Scientist at two startups. Here is Gregory's bio . Follow Gregory on Twitter: @kdnuggets or LinkedIn.
Who leads in Data Science, Machine Learning, and Predictive Analytics? We compare the latest Forrester and Gartner reports for this industry for 2017 Q1, identify gainers and losers, and strong leaders vs contenders.
We examine principles of good data visualization, including some great and terrible examples, guidelines for human perception, focus on key variables, changes and trends, avoiding chart junk, and more.
We compare Gartner 2017 Magic Quadrant for Data Science Platforms vs its 2016 version and identify notable changes for leaders and challengers, including IBM, SAS, RapidMiner, KNIME, MathWorks, Microsoft, and Quest.
17 new must-know Data Science Interview questions and answers include lessons from failure to predict 2016 US Presidential election and Super Bowl LI comeback, understanding bias and variance, why fewer predictors might be better, and how to make a model more robust to outliers.
The surprising finding is that people are much more willing to ride in a self-driving car that might kill them to save several pedestrians than in a car that would save them but kill pedestrians. Asian respondents had significantly different preferences from US and Europe.
Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions
What makes a good data visualization – a Data Scientist perspective
Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers
Data Scientist – best job in America, again