World War Z

An immensely boring and yet predictable movie from start to finish. The audience can pretty much anticipate to what is about to happen through out the movie. Perhaps, another one of those that tries to depict terror, panic, fear in the lives of people at an emotional level connecting them in some way or another to realism of the current world circumstances and of the unknown. In a lot of ways the World War Z reverberates a story line copy of previous movies, even sharing a few similarities with Cloverfield and War of the Worlds. An almost narrow minded portrayal of the unknown appear to be displayed and interpreted in a complete destruction and the annihilation of the human race. Another one of those fear mongering type of movies. However, this particular one shares a monotone feel of plot lines and a serious boredom factor. I am not truly sure why someone wouldn't quite fall asleep half way through watching it.

Man of Steel

A masterpiece of action and storytelling all wrapped up in a twist produced an immensely entertaining movie. Man of Steel had a distinctive clarity from start to finish, from childhood details to super power background. It all seemed like one could follow through the movie without it turning into an overly long winded story line. Even superman's love interest was introduced in a subtle way right through. It plays on the character, it plays on the human side as well as the not so human side. It even surprises and outshines the evil. Finally, we are shown what it takes for the world to acknowledge the unknown and the different.

Data Science Meetups

Data Science is all about telling a story through data that can be understood by non-practitioners. It combines the theory with the practice in process of extracting meaning from data and creating data products that provide method for producing and exposing information in specific contexts. This could involve the steps of data analytics, visualization, practical approaches to machine learning, data warehousing, and big data processing. In order to understand data science, one needs to get to grips with certain principles of database theory, agile approach, and the spiral dynamics. The practical steps generally involve organizing, packaging, and delivery of data where several questions need to be answered in order to get to grips with data processing or data mining in particular. The processes are then cycled through various technologies which are  currently in an explosive growth and change.

A really good approach to start taking the steps towards understanding the methods and approaches is through background reading, practice, and attend meetups. There are several meetups and conferences being held from time to time across the world. There is one data science meetup in particular that is quite active - data science