My personal space where I scribble whatever funny thoughts come to my mind. Actually, that is not entirely true. A lot of random thoughts enter and leave my mind all the time and the blog contains only a largely drilled down and censored subset of them.
Also, there are reviews of certain movies that have fascinated the viewer in me.
I would say the time you spent here would not be regretted.
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Romantic Girlfriend and the Realistic Spouse
'Waves waves...Oh the gigantic sea waves!'
Thus began my very first attempt at verse (or at-least it is the first one I can remember). I was in class six. You see class six marked an year of transition - from primary to secondary schooling. We had new subjects, new teachers. Our English tutor was the much feared Joseph Sir, who turned out to be much caring and loving in reality. I strongly believe that the English teachers - Joseph Sir, Indira Ma'am and the late Radhakrishnan Sir - played an immense role in identifying my penchant for English and opening the windows of creative writing within me.
Coming back to the "wave poem" - it is just a silly poem filled with rhymes - like any other school going kid is expected to write. The same year I remember Joseph sir asking each of us to write a poem as some sort of an assignment. Our English classes were during the seventh period according to the timetable. And so for the assignment, I wrote another short poem titled "Seventh period, English period", where I openly confessed my love for English.
There wasn't much significant write ups during the remaining school phase, except for the occasional misadventures on poetry for the annual school magazine. It was a matter of pride to see your name up there in the pages of magazine. (And I had stiff competition at home since my brother dear consistently filled the magazine pages with articles and wonderful pictures.)
As years rolled by, I made my transition from secondary to senior secondary classes. As I was one among the toppers, the obvious choice was science group. While Physics, Chemistry and Mathematics took the limelight, I found console in the new and interesting Computer Science, and of course in English. Doing a power point presentation on my beloved play 'A Christmas Carol' made me as happy as when my C code for the much popular "odd or even" game compiled successfully.
Schooling was over. I was at a crossroads - confused at what road to pursue. That's when I wrote for the first time something I am actually proud of even till today. Interestingly, the piece of prose was titled 'Crossroads'. The results of Entrance Examinations were also out, and I was engaged to Computer Science. I received adulation both for my admission at a Govt. Engineering College as well as for the write up. I was glad of both.
My affair with English sustained with me during the RIT days. One's writing tend to be influenced by what one reads. Unsurprisingly, most of my write ups of the initial college days drew much inspiration from Chetan Bhagat, with some of the plots being polished versions of my own one sided, romantic trysts (read monumental moments of shame). The good memories are participating in the short story competition of the annual college arts for three successive years, and winning the first prize in all three. I earned a writer's tag among the student community. I also passed my bachelors' degree in due time.
One of the major tech companies had offered me my first job opportunity. However, I opted for more campus life. I extended my engagement to Computer science and moved in to her place (yeah that could be taken literally - as this was the phase where i had moved to a hostel to do my Masters' - I was staying away from home for the first time ever). The stronger my relationship with Computer Science grew, so did my affair with English too. No more campus romance, as I was trying to experiment with unexplored themes. I discovered this amazing page called 'The Anonymous Writer' - which is a pan Indian community where amazing budding writers share their works to be read and analyzed by an equally enthusiastic readers lot. From there I was lucky to meet many young people who create magic through their wordings - particularly one lovely lass from the west of Bengal who helped me in editing what I wrote and also in correcting the silly spelling mistakes as I was (am) lazy even to proofread what I wrote. Almost all my close friends thought a Kerala-Bengal "2 States" was happening.
Anyway, after 2 years of living together, I finally married Computer Science and have presently settled at Thiruvananthapuram, where I work. My marriage has not taken away my love affair. Sometimes, I wonder if made a wrong choice in not marrying English. But as they say it 'familiarity might breed contempt'. I never entered into a formal relation with English - and that is what makes what we have special. We never get to see each other close. That way, the romantic idea that is in our heads about each other remain the way it is. I am happy knowing that she would always be there for me, when I would be broken by the frequent silly fights I have with my spouse, Computer Science. Please do not judge me from the monogamy point of view and label me as an infidel. Some things do not work that way.
You might be familiar with the term Machine Learning. Worry not if you have not, cause I have tried to give a gist of the concept here. The term has been in the limelight of late and has been tossed around rather liberally to denote anything related to artificial intelligence, robotics, and data mining. Machine Learning, as the name suggests, could simply mean the field of study of enabling the “machines” (computers) to “learn” from past experiences and make informed decisions in the future. Wait a minute! Learning from past experiences is something humans do, right? Exactly! The computer folks want computers to behave more and more like us. As if there aren't enough of us already. As the machines are becoming more like us, we are becoming more like them. Introspection time! Most of us wake up every morning like clockwork! Then we rush through the morning routines - get dressed, wade through the traffic, and reach our offices or schools or wherever people expect us to be. We spe
Before The Judgement I believe I must begin by addressing the pressing question - Was planning a vacation in the midst of a pandemic a recommended move? No. Yet we went ahead with it. Here is why. We (Nithya & I) were newly married, and our vividly planned vacation at the island of Langkawi was stolen away from us by the virus. Our stay in Delhi was coming to an end due to job-related moves, and we felt it would be a waste not to utilize this opportunity in exploring at least one of the tourist hot spots easily accessible from the national capital region. Let us end this section by answering another question - Are the reasons listed above good enough to risk a vacation during a pandemic? No. We had taken a calculated risk. Arrival at Manali There are two phases to this - planning and execution. We had not started planning with Manali in mind. There were numerous choices - starting from Jaipur and Amritsar to Nainital, Shimla, and Manali. After a bit of reading and deliberations,
You can’t conclude a discussion on Machine Learning without mentioning classification. Classification is a machine learning technique where the machine is trained to predict the label of the given input data. Alright, let’s cut the jargon and get some real-world examples. Oranges and Bananas. Let’s assume that we have a box of fruits that contain some oranges and some bananas. You are asked to pick one fruit at random and tell if it is an orange or a banana. Pretty basic, right? For us, it is straightforward. We would know the answer at first sight. But, how would a computer be able to tell the difference? In classification, the machine would first be trained on some pre-labeled data. It would be shown an orange and we would tell it that the fruit is an orange. The machine would study the orange and remember its features - orange color and round shape. Then it would be shown a banana and the process is repeated. What are these features? A feature is anything that helps us uniquely labe