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  This is what happened. A youngster shot a girl dead in Kerala, and then killed himself. The police are investigating the case, and prominent theories suggest that the two were in a relationship, she ended the relationship for reasons unknown and he committed the crime as an act of revenge. Most people reacted to the news with utter disbelief, and anger. But let us talk about the people in the screen-shot and their disgusting comments. I will give a sense of the comments for those who don't know Malayalam. The first comment is a textbook example of victim blaming. The person says that the girl might have dumped him which was why he got enraged. “Equal blame on both”, the comment say. The second comment goes on to empathize with the killer, highlighting the pain he must have gone through to take such a drastic step. And there are many other comments conveying similar sentiments. In a society where the term dating is largely unheard of, many people believe ending a relationship is s
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11:11

  ‘11:11’, she texted me. I might have briefly pondered the meaning of it before I realized she had texted me the time of the day. ‘Okay?’ ‘If you observe 11:11 on a day, you will observe it in the coming days as well.’ That was an interesting comment. Not something I believed right away. Interesting, nevertheless. ‘11:11’, she texted me the next day. Is it becoming a thing now? Twice every day the clock shows us four ones. That day, my eyes caught sight of the second time the time was eleven past eleven. ‘11:11’ I texted her. It was becoming a thing now. So were we. Exactly eleven months ago, we were proclaimed as one by our family and friends and the society alike. And throughout the period, I cannot remember any single day where we have been away from each other. Due to the pandemic induced lockdown induced work from home, we have had the privilege to spend most of our time together. Such levels of close interaction expose a lot of our shades to the other person. Some, they may find

This and that

You might have come across this joke that has been doing rounds for years now. Let me tell it to you nevertheless. It unfurls in a classroom, where the teacher is conducting an exam. The students are to write an essay on coconut trees. (What other topic to write on in a state named after coconut trees!) While all the kids went gaga over it, Veer was yet to write a word. Veer was not from the state named after coconut trees, and he knew scant about those. This is not to imply that his was a gone case. He decided to make up for his lack of knowledge in coconuts by leveraging his extensive knowledge about cows. This is how we wrote his essay: Coconut trees are good trees. We have a coconut tree in our backyard. My uncle ties our cow to the coconut tree in the afternoon. The cow gives us milk everyday. My uncle loves our cow very much... In a system that rewards on the basis of the number of words written rather than the sense it carries, Veer passed the test in flying colors. He later hel

The Trout and The Fighter

The days of tranquillity are probably over. The two-leggeds are back. They have been uncharacteristically away for a while now. No idea what kept them so busy that they decided to forego their annual pilgrimage to our humble abode. Whatever it was, they seem to have dealt with it. Here they come, in their warm sweaters made off the wool from our sheep, wanting to lie in peace at the quaint valley of our own Parvati. For the record, I do not hold anything against the two-leggeds. I find them to be simple and soft creatures. Their bodies could not tolerate the mood swings of the climate that they had to wrap themselves in artificial layers of skin. Their bodies are not fast enough that they had to build metal boxes to get them places. Delicate creatures. Often they come here - with tall tales of how they long to be one with nature. Between you and me, most of them come here primarily to inhale the magic plant. Anyway, I don't intend to indulge in gossip much. Their arrival doesn'

The High State

 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,

Machine Unlearning #5 (Reinforcement Learning)

Machine Unlearning is a series broken up into tiny, one-minute readable pieces to humor our ever-shortening attention span. Sharing the links to every single piece right below: Machine Unlearning #0 (Intro) Machine Unlearning #1 (Classification) Machine Unlearning #2 (Regression) Machine Unlearning #3 (Clustering) Machine Unlearning #4 (Outlier Analysis) Reinforcement Learning is a slightly different learning model than the other techniques that we have discussed previously. Therefore, I wouldn’t be able to explain the same using the fruit basket example that we have been using all this while. Let’s replace apples and oranges with self-driving cars! Suppose that you are at Google or Tesla and are trying to train a car to drive by itself! How would you go about that? Driving requires the knowledge of much more than turning the ignition on and steering the wheel. You should know to keep the side of the road, to stop at the red signal, or to keep off the footpath, for instance. You decide

Machine Unlearning #4 (Outlier Analysis)

Machine Unlearning is a series broken up into tiny, one-minute readable pieces to humor our ever-shortening attention span. Sharing the links to every single piece right below: Machine Unlearning #0 (Intro) Machine Unlearning #1 (Classification) Machine Unlearning #2 (Regression) Machine Unlearning #3 (Clustering) Machine Unlearning #5 (Reinforcement Learning) Let’s start with the example. We have the basket full of different fruits and we are sorting the fruits based on their distinctive properties, or features. What would happen if a coconut got mixed in the fruit basket that contained oranges, apples, bananas, cherries, and mangoes? The coconut does not share any feature (color, shape, or size) with any of those fruits in the basket. Since there is only in coconut in the basket, it is not possible to create a separate group of coconuts. Such items in the group, which stand out or are distinctive than the others are generally termed outliers. Outliers are sometimes discarded as noise