About Editor Anmol

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.

Editor Anmol Posts (147)

• The Machine Learning Problem of The Next Decade - 26 Feb 2016
  
  How can businesses integrate imperfect machine-learning algorithms into their workflow?
• KDnuggets™ News 16:n06, Feb 17: 21 Must-Know Data Science Interview Q&A; Top Influencers and Brands - 17 Feb 2016
  
  21 Must-Know Data Science Interview Questions and Answers; Big Data 2016: Top Influencers and Brands; Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: : gainers and losers; Scikit Flow: Easy Deep Learning with TensorFlow and ...
• Apache Spark: RDD, DataFrame or Dataset? - 03 Feb 2016
  
  There are now 3 Apache Spark APIs. Here’s how to choose the right one.
• KDnuggets™ News 16:n04, Feb 3: Is Deep Learning Overhyped? Businesses Will Need 1M Data Scientists - 03 Feb 2016
  
  New Poll: Deep Learning - does reality match the hype?; Is Deep Learning Overhyped?; Businesses Will Need One Million Data Scientists by 2018; KDnuggets New Responsive, Mobile-Friendly Design.
• The Top A.I. Breakthroughs of 2015 - 02 Feb 2016
  
  Learn about the biggest developments of 2015 in the field of Artificial Intelligence.
• Anthony Goldbloom gives you the Secret to winning Kaggle competitions - 20 Jan 2016
  
  Kaggle CEO shares insights on best approaches to win Kaggle competitions, along with a brief explanation of how Kaggle competitions work.
• KDnuggets™ News 16:n02, Jan 20: Research Leaders on Key Advances, Top Trends; Top 10 Deep Learning Projects - 20 Jan 2016
  
  Research Leaders on Data Mining, Data Science and Big Data key advances, top trends; Top 10 Deep Learning Projects on Github; Top 100 Big Data Experts to Follow; Yahoo Releases the Largest-ever Machine Learning Dataset.
• Research Leaders on Data Mining, Data Science and Big Data key advances, top trends - 18 Jan 2016
  
  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.
• Hitchhikers Guide to Azure Machine Learning Studio - 15 Jan 2016
  
  Learn Azure ML Studio through this brief hands-on tutorial. This step-by-step guide will help you get a quick-start and grasp the basics of this Predictive Modeling tool.
• 20 Questions to Detect Fake Data Scientists - 01 Jan 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.