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KDnuggets Home » News » 2015 » Mar » News, Features » Top stories for Mar 1-7: All Machine Learning Models Have Flaws; Analytics, Data Mining, Data Science professionals salary ( 15:n08 )

Top stories for Mar 1-7: All Machine Learning Models Have Flaws; Analytics, Data Mining, Data Science professionals salary


 
 
Tags:

All Machine Learning Models Have Flaws; Analytics, Data Mining, Data Science professionals well compensated; 7 common mistakes when doing Machine Learning; Interviews with Ted Dunning (MapR) and Kaiser Fung (junkcharts).


Most viewed stories

  1. All Machine Learning Models Have Flaws - Mar 3, 2015.
  2. Analytics, Data Mining, Data Science professionals well compensated
    Analytics, Data Mining, Data Science professionals salary by region and role
     - Mar 3, 2015.
  3. Gartner 2015 Magic Quadrant for Advanced Analytics Platforms: who gained and who lost - Feb 23, 2015.
  4. Simple Data Science of Global Warming - Jan 19, 2015.
  5. KDnuggets 15:n07: Analytics/Data Science Salaries; Machine Learning Flaws; Strata Highlights - Mar 4, 2015.
  6. Upcoming Webcasts on Analytics, Big Data, Data Science - Mar 3 and beyond - Mar 2, 2015.
  7. Interview: Ted Dunning, MapR on The Real Meaning of Real-Time in Big Data - Mar 2, 2015.
  8. Strata + Hadoop World 2015 San Jose - Day 1 Highlights - Mar 2, 2015.
  9. Upcoming March - August 2015 Meetings in Analytics, Big Data, Mining, Data Science - Mar 4, 2015.
  10. Top /r/MachineLearning Posts, Feb 22-28: Jurgen Schmidhuber AMA and Machine Learning Done Wrong - Mar 4, 2015.



 
 

Most shared

  1. All Machine Learning Models Have FlawsMachine Learning - Mar 3, 2015.
  2. 7 common mistakes when doing Machine Learning - Mar 7, 2015.
  3. Analytics, Data Mining, Data Science professionals well compensated - Mar 3, 2015.
  4. Interview: Ted Dunning, MapR on The Real Meaning of Real-Time in Big Data - Mar 2, 2015.
  5. Interview: Ted Dunning, MapR on Apache Mahout & Technology Landscape in ML - Mar 3, 2015.
  6. Interview: Kaiser Fung, NYU on Why Ignoring Data Integrity is a Recipe for Disaster - Mar 4, 2015.
  7. Strata + Hadoop World 2015 San Jose - Day 1 Highlights - Mar 2, 2015.
  8. Interview: Kaiser Fung, NYU on Why Statistical Reasoning is more important than Number Crunching - Mar 5, 2015.
  9. Upcoming Webcasts on Analytics, Big Data, Data Science - Mar 3 and beyond - Mar 2, 2015.
  10. Wrangling Public Bike Share Data with The Free Trial of Trifacta - Mar 6, 2015.



 
 

Most viewed jobs and positions

  1. HomeUnion: Sr. Data Scientist - Mar 3, 2015.
  2. Criteo: Senior Data Scientist, Machine Learning - Mar 5, 2015.
  3. Apple: Data Science Engineer - Feb 26, 2015.
  4. TU/e: Full Professor in Data Mining - Feb 26, 2015.
  5. PeerIQ: Credit Quant - Mar 6, 2015.
  6. Cardinal Financial: Data Science Analyst - Feb 26, 2015.
  7. PredictionIO: Machine Learning Engineer (Evangelist) - Feb 26, 2015.


KDnuggets Home » News » 2015 » Mar » News, Features » Top stories for Mar 1-7: All Machine Learning Models Have Flaws; Analytics, Data Mining, Data Science professionals salary ( 15:n08 )

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