Top ten algorithms in data mining (2007) [pdf] | Hacker News

Top ten algorithms in data mining (2007) [pdf] | Hacker News.

The discussion below the link is also very good.

If you are curious, here are the 10 algorithms, and the paper is displayed below.

  1. C4.5
  2. k-Means
  3. SVM
  4. Apriori
  5. EM
  6. PageRank
  7. AdaBoost
  8. kNN
  9. Naive Bayes
  10. CART

Enterprise Software Doesn't Have to Suck: Software engineer's guide to getting started with data science

Enterprise Software Doesn't Have to Suck: Software engineer's guide to getting started with data science.

If you know how to code and want to learn data science, this post has some enlightening material.

Computing for Data Analysis Starts Today

Coursera’s Computing for Data Analysis starts today. Enroll now and start learning R and data analysis.

Make 2013 Your Year for Learning Data Science

While the buzz around bigdata might die down a bit in 2013, the main ideas of data science are not going away. Being able to make smart decisions based upon data is a concept that is here to stay.

In fact, 2013 might be the best year ever to start learning data science skills. Colleges and Universities are opening new data science/analytics programs. There are numerous MOOCs avaiable or you can follow along on with a Coursera curriculum. Plus, there are thousands of blog posts, wikis, and other articles all covering various data science topics. If you want to learn data science, the timing could not be much better.

Happy New Year and Happy Learning!