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


21 Must-Know Data Science Interview Questions and Answers; Top 10 TED Talks for the Data Scientists; Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers.



Most viewed news items

  1. 21 Must-Know Data Science Interview Questions and AnswersRegularization LP ball

    - Feb 11, 2016.
  2. Top 10 TED Talks for the Data Scientists - Feb 9, 2016.
  3. Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers - Feb 16, 2016.
  4. 21 Must-Know Data Science Interview Questions and Answers, part 2 - Feb 20, 2016.
  5. Apache Spark: RDD, DataFrame or Dataset? - Feb 3, 2016.
  6. The Next Big Inflection in Big Data: Automated Insights - Feb 15, 2016.
  7. Opening Up Deep Learning For Everyone - Feb 19, 2016.
  8. Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn - Feb 12, 2016.
  9. Deep Learning is not Enough - Feb 9, 2016.
  10. Data scientists keep forgetting the one rule - Feb 2, 2016.

 
 

Most shared

  1. Gartner 2016 vs 2015 Magic Quadrant for Advanced Analytics PlatformsGartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers - Feb 16, 2016.
  2. Top 10 TED Talks for the Data Scientists - Feb 9, 2016.
  3. 21 Must-Know Data Science Interview Questions and Answers - Feb 11, 2016.
  4. Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn - Feb 12, 2016.
  5. The Next Big Inflection in Big Data: Automated Insights - Feb 15, 2016.
  6. Opening Up Deep Learning For Everyone - Feb 19, 2016.
  7. Data scientists keep forgetting the one rule - Feb 2, 2016.
  8. Apache Spark: RDD, DataFrame or Dataset? - Feb 3, 2016.
  9. 21 Must-Know Data Science Interview Questions and Answers, part 2 - Feb 20, 2016.
  10. Why Spark Reached the Tipping Point in 2015 - Feb 26, 2016.