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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Movie Review : Anarkali
Title : Anarkali Language : Malayalam Year : 2015 Director : Sachy Genre : Drama, Romance IMDB Link Watch trailer on Youtube Lead Role : Prithviraj Sukumaran, Biju Menon, Miya George, Suresh Krishna
Many of us might be familiar with the tale of Anarkali, the
court dancer who was supposedly Jahangir’s secret lover. But when a debutant
director announces the title for his directorial venture, one is not very sure
what to expect. Is he gonna portray the Mughal times? Or is he planning to base
the plot on the ageless tale of love? One fine day, the trailer releases and
doubts are put to rest.
Anarkali, as the team behind it described, is a romantic
drama with feeble elements of thrill sprinkled here and there. The storyline is
not very gripping or deep, and it is compensated by the beauty of the
breathtaking visuals. Cinematography is the soul of the movie, and Sujith
Vasudev deserves an applause.
Prithviraj Sukumaran is apt for the role of Shantanu, our
mysterious wanderer. With the right looks, physique and voice, he keeps the
viewer hooked. Both Prithvi and Sujith Vasudev learned diving to provide the
underwater sequences authenticity. By the end of the shoot, they had obtained
their Grade 1 certificates too.
Biju Menon and Suresh Krishna stands out with their
performances. The climax, which would have turned ordinary, was notched up a
level by the former’s impeccable comic timing. Though the heroine looked real
pretty on screen, I had wished for a Prithvi-Miya combo.
Sachi may be new to direction, but we are familiar with his
writing in films like Robin Hood, Seniors, Run Baby Run and the like. To be
honest, this is not his best work. If some care were taken to edit out certain
sequences, the drag factor would not have arisen.
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