My study list for Summer time 2014

I was thinking what to study during Summer time. I need to improve my insight into Big Data, especially Hadoop and its fundamentals like HDFS, HBase and MapReduce. At least from non-Java developer point of view. But I would like to start with Java development (or another programming language) perspective too, some intro would be good.

I have also in my study plans two courses about Machine Learning and Data Science on Coursera which I already subscribed to. When I am currently taking a break from courses in Data Science Specialization.

And last but not least I need to finish mini project in R for DSE 501 and follow up with next one DSE 502.

If anyone wants to join me, for Coursera courses for example. Sign in, links to the courses or another staff are below and let me know in comments. We can make a study group.

Course: DSE 501 - Machine Learning with R

After I went successfully through DSE 400, which is in detail described here. I followed up with DSE 501 Machine Learning with R. I was really eager to learn Machine Learning since beginning of my Data Science study, so here was an opportunity and I took it.

First at all I need to say, I really enjoyed it, even though I haven't finished it yet. Last thing which is still on my table even though I am working on it really hard is final project, the 6th assignment. You are choosing it by your self and define proposal by your self, so it's up to you, how difficult it would be. But, I am going backwards. Let's start from beginning.

Reading: Free online resources June 2014

I need to say, my last obsession is NLP. After I came through basics of ML/DM techniques I challenge my self in NLP Kaggle.com contest about Sentiment analysis. So, if you are interested about free (as usual of course) basic sources  for this topic, be my guest:

• Natural Language Annotation for Machine Learning by James Pustejovsky, Amber Stubbs
• Natural Language Processing with Python by Steven Bird, Ewan Klein, Edward Loper
• Python Text Processing with NLTK 2.0 Cookbook by Jacob Perkins
• Taming Text by Grant S. Ingersoll, Thomas S. Morton, Andrew L. Farris
• and many others...

Unfortunately I have found that 1st one is not completely available, just first 4 chapters, but as intro it is good enough.