KDnuggets Home » News » 2016 » Feb » News, Features » Top stories for Feb 14-20: Gartner 2016 MQ for Advanced Analytics: gainers and losers; 21 Must-Know Data Science Interview Q&A ( 16:n07 )

Top stories for Feb 14-20: Gartner 2016 MQ for Advanced Analytics: gainers and losers; 21 Must-Know Data Science Interview Q&A

          

21 Must-Know Data Science Interview Questions and Answers; Gartner 2016 Magic Quadrant for Advanced Analytics Platforms; The Next Big Inflection in Big Data: Automated Insights; Opening Up Deep Learning For Everyone.

Most viewed news items

  1. 21 Must-Know Data Science Interview Questions and AnswersRegularization
  2. Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers
  3. R vs Python for Data Science: The Winner is ...
  4. 7 Steps to Mastering Machine Learning With Python
  5. TensorFlow Disappoints - Google Deep Learning falls shallow
  6. Top 10 TED Talks for the Data Scientists
  7. 50+ Data Science and Machine Learning Cheat Sheets



 
 

Most shared

  1. Gartner 2016 Mq Advanced Analytics 250Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers - Feb 16, 2016.
  2. The Next Big Inflection in Big Data: Automated Insights - Feb 15, 2016.
  3. Opening Up Deep Learning For Everyone - Feb 19, 2016.
  4. Data Lake Plumbers: Operationalizing the Data Lake - Feb 18, 2016.
  5. Amazon Machine Learning: Nice and Easy or Overly Simple? - Feb 17, 2016.
  6. Big Data Projects and Distributed Data Science Pipelines - online courses - Feb 15, 2016.
  7. DataRPM: Building Data Products For Recommendations And Predictions, Webinar, Feb 18 - Feb 16, 2016.