KDnuggets Home » News » 2014 » n11  ( < n10 |  n12 > )

KDnuggets™ News 14:n11, May 7



Features (7) | Opinions (5) | Software (1) | News (3) | Webcasts (4) | Meetings (2) | Jobs (6) | Publications (1) | Tweets (3) | CFP (9) | Quote

Features

Opinions and Interviews

Software

News

  • Top stories for Apr 27 - May 3 - May 4, 2014.
    Cartoon: Data Scientist Salary Negotiation; 9 Free Books for Learning Data Mining and Data Analysis; MLTK: Machine Learning Toolkit in Java - free download; Mass Big Data Report 2014.
  • Additions to KDnuggets Directory in April - May 4, 2014.
    24 new Big Data and Data Science meetings, analytic consulting companies, Virginia data, Data Science certificates, Dean Abbott book on Applied Predictive Analytics, and more.
  • Top stories in April - May 2, 2014.
    Apache Spark, the hot new trend in Big Data; Data Analytics Handbook - interviews with tech leaders, free download; Learning and Teaching Machine Learning; 9 Free Books for Learning Data Mining and Data Analysis.

Webcasts and Webinars

Meetings

Jobs

Publications

  • 3 Key Trends in the DBMS Market - May 3, 2014.
    The top 3 trends in DBMS include market consolidation, moving beyond OLTP, and distributed computing - we examine them in detail.

Top Tweets

  • Top KDnuggets tweets, May 2-4 - May 5, 2014.
    Big List of Machine Learning, #DataScience, and Statistics Resources; 7 Free or low-cost ways to Learn Data Mining & Data Science; Datasight.io - machine learning for the masses - now in beta; Every MIT undergrad will get $100 of Bitcoin.
  • Top KDnuggets tweets, Apr 30 - May 1 - May 2, 2014.
    Useful! Chart Cheat Sheet: When to use Bar, Stacked, Line, Donut, Choropleth; Microsoft Data Scientist; The Deep Dive: SAS vs. R: younger Data Scientists prefer R ; Massachusetts releases Big Data Report 2014.
  • Top KDnuggets tweets, Apr 28-29 - Apr 30, 2014.
    9 Free Books for Learning Data Mining; Cartoon: Data Scientist Salary Negotiation; statsTeachR - great free resource; What every Data Scientist needs to know about SQL.

CFP - Calls for Papers

Quote

Big Data’s weakness is that it says nothing about Why – causation or why a phenomenon occurred or will occur. Michael Brodie in Part 3 of the KDnuggets Interview.

Sign Up