Machine Learning is to me is the transcendentalization of my combined passion toward Software Engineering and Data Analytics. Machine Learning (ML) is a specific subset of AI focused on enabling machines to learn from data.

A fascination with things from the past, like ancient languages, is a common and deeply rooted human interest. There are a number of reasons for this, ranging from the intellectual and practical to the emotional and psychological.

People who are interested in Philosophy but not a Philosophy major doesn't like the overly complicated style of writing where everything is symbolic or metaphorical and have to dig for the meaning instead of it just being clearly stated. For example, reading Newton's principia feels struggling for really understanding the work not because the ideas in it are too complicated, but because reaching the ideas feels like going through a maze of unnecessary jargon to reach them, and by the time one has made it through all that, people become too mentally drained to even digest what they're really saying. Is there anything wrong?

Having been constantly cognized by the feeling of Lucky Streaks and the notion of Buddhism's idea of Karma prevailed in many aspects of our lives and works, I found this would have also become a philosophical subject known as "Determinism"

George Berkeley was an Anglo-Irish philosopher who is regarded as the founder of "immaterialism". As a leading empiricism, he had a profound influence on the views of other thinkers, especially Immanuel Kant and David Hume. Berkeley argued against Isaac Newton's doctrine of absolute space, time and motion in De Motu. His arguments were a notable precursor to those of Ernst Mach and Albert Einstein. Interest in Berkeley's ideas and works increased greatly after World War II because they tackled many of the issues of paramount interest to philosophy in the 20th century, such as the problems of perception, the difference between primary and secondary qualities, and the importance of language

Holy... I'm still at 17. My tech portfolio has been obsolete. Let's put up a blog that shares the updates and new features since JDK 9 forward.

Continuous delivery is an approach where teams release quality products frequently and predictably from source code repository to production in an automated fashion.