Anmol Rajpurohit is a graduate student (MS, Computer Science) at UC, Irvine. He is former Software Development Intern at Salesforce. His areas of interest are data science, machine learning and information retrieval. His novel analytics solution for online education was the runner-up at UCLA Developer's Contest 2014. His research work on "Big Data for Business Managers: Bridging the gap between potential and value" was selected for IEEE BigData 2013 conference.
Research Leaders in Data Science and Big Data reflect on the most important research advances in 2015 and the key trends expected to dominate throughout 2016.
Hiring Data Scientists is no easy job, particularly when there are plenty of fake posers. Here is a handy list of questions to help separate the wheat from the chaff.
The main technical advantage of Orange 3 is its integration with NumPy and SciPy libraries. Other improvements include reading online data, working through queries for SQL and pre-processing.
Using Deep Learning to find the perfect match, PhD student Harm de Vries describes the process of data collection and analysis. Finally, the results from matching algorithm are compared to human assessment for identifying an individual's dating preferences.
When a Machine Learning PhD student at University of Montreal starts using Tinder, he soon realises that something is missing in the dating app - the ability to predict to which girls he is attracted. Harm de Vries applies Deep Learning to assist in the pursuit of the perfect match.
R leads RapidMiner, Python catches up - Annual Software Poll; Top 10 Data Mining Algorithms; Exclusive Interview: Matei Zaharia, creator of Apache Spark; 5 Not-to-be-Missed Ideas about Big Data.
Recent news on Apache Spark includes developer certification from O'Reilly, upcoming training workshops in EU by Databricks, and Spark tutorial events at major universities.
Know key characteristics of what makes up a good data scientist based upon the three authors’ consulting and research experience, having collaborated with many companies world-wide on the topics of big data and analytics.
20 Questions to Detect Fake Data Scientists