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Stochastic Optimization
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Synergy and complementarity are terms that aptly describe the relationship between machine learning and optimization. In machine learning, optimization is often the tool…
May 10, 2025
Rajiv Sambasivan
Accuracy, is that what we are after?
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Is accuracy the ultimate goal of a data scientist’s work? A recent WhatsApp forward I received portrayed data scientists as being singularly focused on model accuracy, as if…
May 5, 2025
Rajiv Sambasivan
The Magic Pill Approach
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This post is more of a rant, really. I’m fine with asking ChatGPT for movie recommendations on Netflix or Prime, but when it comes to answering complex, nuanced questions…
May 1, 2025
Rajiv Sambasivan
Using Hidden Markov Models with the Coffee Prices Data
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I started writing about coffee prices kind of on a whim—mostly because I wanted to try out this tool called quarto that I’d heard good things about. At the same time, I was…
Apr 26, 2025
Rajiv Sambasivan
Understanding Coffee Prices
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The question of whether I will continue paying these high prices for coffee was a “nerd itch” I simply had to scratch. Below is a plot showing the coffee prices (in cents…
Apr 26, 2025
Rajiv Sambasivan
Predictive Modeling without Supporting Data Analysis
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In my opinion, relying on models without prior data analysis is problematic. This is particularly true for business applications that work with regular tabular data. While…
Apr 23, 2025
Rajiv Sambasivan
Chat GPT and Data Analysis
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For a while now I have been meaning to explore how Copilot and Chat GPT are useful for data analysis. I have also been meaning to transition to Quarto for a while, so I…
Apr 23, 2025
Rajiv Sambasivan
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