KDnuggets Home » News » 2015 » Feb » Top Tweets » Top KDnuggets tweets, Feb 23-25: Microsoft is building fast, low-power Deep Learning networks; Lucrative tech careers: Data Scientist, Data Engineer ( 15:n07 )

Top KDnuggets tweets, Feb 23-25: Microsoft is building fast, low-power Deep Learning networks; Lucrative tech careers: Data Scientist, Data Engineer


5 lucrative tech careers in 2015: Data Scientist ($150K), Data Engineer ($148K); Which SQL on Hadoop? Gartner Poll Still Says "Whatever" But DBMS Providers Gain; 10 Most-Funded #BigData #Startups; DataRPM 8 runs in #Hadoop, uses #MachineLearning to find insights.



Most popular @KDnuggets tweets for Feb 23-25 were

Most Retweeted:
Microsoft is building fast, low-power neural networks for #DeepLearning with FPGAs, use 10% of GPU power #BigData t.co/cNGp2cRqXI

Most Favorited:
Livestream Feb 25, 6:30 pm PT Stanford Prof Trevor Hastie on Sparse Linear Models #DataScience t.co/lyx0FVsRZW t.co/HC0861L8uf Livestream Feb 25, 6:30 pm PT Stanford Prof Trevor Hastie

Most Viewed:
10 Most-Funded #BigData #Startups, as of Jan 2015: @Cloudera, @PalantirTech, @MongoDB, @DomoInt, @MuSigmaInc t.co/Ptx6fjYiI6

Most Clicked:
5 lucrative tech careers in 2015: 1. Data Scientist ($150K), 2. Data Engineer ($148K) t.co/RxQ2kvRA0d t.co/Jb9k6IZR5q

Top 10 most engaging Tweets
  1. 5 lucrative tech careers in 2015: 1. Data Scientist ($150K), 2. Data Engineer ($148K) t.co/RxQ2kvRA0d t.co/Jb9k6IZR5q 5 lucrative tech careers in 2015
  2. Livestream Feb 25, 6:30 pm PT Stanford Prof Trevor Hastie on Sparse Linear Models #DataScience t.co/lyx0FVsRZW t.co/HC0861L8uf
  3. Which SQL on Hadoop? Gartner Poll Still Says "Whatever" But DBMS Providers Gain t.co/FlYuRAhepy t.co/uRiTDFSH0q
  4. .@DataRPM 8 runs in #Hadoop, uses #MachineLearning to find insights, present visually to users t.co/lQfF3EbsPO t.co/sIlyNZPaka DataRPM Smart Machine Insights
  5. Microsoft is building fast, low-power neural networks for #DeepLearning with FPGAs, use 10% of GPU power #BigData t.co/cNGp2cRqXI
  6. Great Statistical Analysis of 142 Million #Reddit Submissions - very memetic t.co/5tqb5pTWXB t.co/kvqdm2vUsG
  7. 10 Most-Funded #BigData #Startups, as of Jan 2015: @Cloudera, Palantir, @MongoDB, Domo Intelligence, @MuSigmaInc t.co/Ptx6fjYiI6
  8. Gartner 2015 Magic Quadrant for Advanced Analytics Platforms: who gained and who lost t.co/qx7bLnYDHJ
  9. Statistical Learning and Data Mining III: 10 Hot Ideas for Learning from Data, Mar 19-20, Palo Alto t.co/TCw08vp3Mq
  10. Where do Data Scientists of @DataScienceCtrl live? California, East Coast, Chicago t.co/wk1LIvypwH t.co/KB8sVj2fVU

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