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.
What can happen in the not too distant future when advanced technologies like a Self-Driving car and Machine Learning Recommendations Engine are combined ...
Also 20 Questions to Detect Fake Data Scientists; Software used for Analytics, Data Science, Machine Learning projects; Top Algorithms and Methods Used by Data Scientists
Key themes included the polling failures in 2016 US Elections, Deep Learning, IoT, greater focus on value and ROI, and increasing adoption of predictive analytics by the "masses" of industry.
The shocking and unexpected win of Donald Trump of presidency of the United States has once again showed the limits of Data Science and prediction when dealing with human behavior.
The majority (57%) of respondents only worked with Gigabyte range data. More junior Data Scientists enter the market, but Petabyte Big Data Scientists still stand apart.
We interview LinkedIn about their recently published LinkedIn Knowledge Graph which connects their many millions of members, jobs, companies, and more.
Latest KDnuggets poll identifies the list of top algorithms actually used by Data Scientists, finds surprises including the most academic and most industry-oriented algorithms.
A Funny Look at Big Data and Data Science
Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017
Trump, Failure of Prediction, and Lessons for Data Scientists
Top Algorithms and Methods Used by Data Scientists