Data Science Tales

John went to the cafeteria 10 times at 1:00 P.M. on 10 Fridays, each time the cafeteria was closed at that particular time. John decided not to go to cafe at 1:00 P.M. on Friday because the cafe will be closed.  But wait! How did John know that the cafe will  also be closed on next Friday at 1:00 P.M.??? Yes, you are absolutely right.  "John Learned from his Experience that the Task of going to the cafeteria at 1:00 P.M. on Fridays resulted in waste of time, since the cafe was closed on each Friday, so it will Perform the same on the next Friday." In the above scenario, John learned something so we can call it " John Learning ". Similarly, if we replace John with some sort of Machine, that can learn from the Experience or from the History about how the tasks were performed in the past given certain situation. Such that the Machine will perform the same if the same task happen again in near future. Then this will be called as Machine Learning. To mak

In this blog post I will talk about: Software Design Patterns Open source platforms e.g. Joomla SEO (Search Engine Optimization) Swift vs Python React vs Angular vs vue.js Machine Learning and related learnings And Choosing Operating System.... Seems so strange, too many things with no visible links ....But wait! I have a solution to this problem, and the solution is in "telling a story" So let's begin John was a student of engineering, he was about to start his academic year for graduation. He wanted to go for software engineering as his major. He got admission in one of the most prestigious college of his state.  He was so passionate and optimistic about his field, he was good in programming and used to participate in every coding and programming contest. Now that he was in his Second year, he thought to get some kind of Internship. So he created his resume, checked it, get it checked by some of his amazing teachers. His resume was somewhat li