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