Rahul

The celebrity world is currently buzzing with the marriage of cricketer KL Rahul and Athiya Shetty, who is the daughter of Bollywood veteran Suniel Shetty. While Suniel Shetty himself is a big fan of SUVs and drives around in cars like Mercedes-AMG G63 and Land Rover Defender, the garage of his daughter and to-be son-in-law looks quite different. Here are the cars of the soon-to-be-married couple. Athiya Shetty Audi Q7 Athiya Shetty put up her Jaguar XF for sale a few years ago and bought the latest Audi Q7 SUV last…

Road to Reinforcement LearningCover photo generated by the author using an AI tool Midjourney (Licenses as Creative Commons Noncommercial 4.0 asset license)Through the previous two articles: (1) Markov States, Markov Chain, and Markov Decision Process, and (2) Solving Markov Decision Process, I set up a foundation for developing a detailed concept of reinforcement learning (RL). The RL problem is formulated as Markov Decision Process (MDP) which can be solved for optimal policies (i.e. what action needs to be taken by an…

Image: A24The nominees for the 2023 Golden Globes have been announced, and the Daniels’ multiversal story of love, family, and Michelle Yeoh kicking ass is leading the charge for genre entertainment at the show next year.In terms of notable genre additions to the list, Everything Everywhere All at Once dominates the proceedings with six nominations, including Best Motion Picture (Musical or Comedy), as well as nods for the Daniels in Directing, Michelle Yeoh, Ke Huy Quan, and Jamie Lee Curtis in the Best Actor in a Motion…

Road to Reinforcement LearningCover photo generated by the author using an AI tool Dreamstudio (Licenses as https://creativecommons.org/publicdomain/zero/1.0/)In the first part, I discussed some basic concepts to establish a foundation for reinforcement learning (RL) such as Markov states, the Markov chain, and the Markov decision process (MDP). Reinforcement learning problems are built on top of MDP.An MDP is a 4-tuple model (𝓢, 𝓐, 𝓟, 𝓡) where s ∈ 𝓢 is a state, a ∈ 𝓐 is an action taken while an agent is a state s, 𝓟(s’ |…

Road to Reinforcement LearningCover photo generated by the author using an AI tool Dreamstudio (Licenses as https://creativecommons.org/publicdomain/zero/1.0/)Reinforcement learning (RL) is a type of machine learning in which an agent learns to interact with its environment by trial and error in order to maximize a reward. It is different from supervised learning, in which an agent is trained on labeled examples, and unsupervised learning, in which an agent learns to identify patterns in unlabeled data. In reinforcement…

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G.R. Macallister’s latest, Arca, returns to the fantasy world of the author’s Five Queendoms. It’s a sequel to Scorpica, which came out earlier this year, and io9 has an exclusive first look today.Here’s a description of the book:Return to the Five Queendoms in the sequel to Scorpica, a sweeping epic fantasy that Rebecca Roanhorse called “ambitious and engaging,” in which a centuries-long peace is shattered in a matriarchal society when a decade passes without a single girl being born.The Drought of Girls has ended, but…

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There are very few politicians in India who have a thing for two-wheelers. While most Indian politicians prefer being chauffeured in their official rides assigned by the government, there are a few politicians like Uddhav Thackerey and Omar Abdullah who prefer to be behind the steering wheel of their cars. However, there’s a rare chance of a politician riding a motorcycle. We came across one such rare sight when Indian National Congress leader Rahul Gandhi was seen riding a motorcycle. जब Bullet पर सवार हुए राहुल गांधी…

A commonly overlooked topic by machine learning practitionersCover photo generated by the author using an AI tool Dreamstudio.Data sampling is at the core of data science. From a given population f(x), we sample data points. All these data points are collectively called random samples denoted by random variable X. But as we know, data science is a game of probability, often, we repeat the experiment many times. In such a scenario, we end up with n random samples X₁, X₂, … Xₙ (not to be confused with the number of data…