Crow Intelligence

Category: Uncategorized

  • Engineering Leadership Insights: A Data Scientist’s Review of “Leading Effective Engineering Teams”

    Engineering Leadership Insights: A Data Scientist’s Review of “Leading Effective Engineering Teams”

    After exploring Gergely Orosz’s comprehensive career guide in the first part of this series, let’s turn our attention to Addy Osmani’s “Leading Effective Engineering Teams.” While primarily written for engineering managers, this book offers valuable insights for anyone working in technical teams – including data scientists.

    Osmani’s perspective differs from Orosz’s hands-on career guide, focusing instead on the dynamics of technical leadership and team effectiveness. Though I found it somewhat less immediately applicable than “The Software Engineer’s Guidebook,” it provides crucial insights into how engineering teams function, make decisions and evolve. Understanding these dynamics can be particularly valuable for data scientists, who often work at the intersection of multiple teams and disciplines.

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  • The Language of Economic Research: How Ideology Shapes Economic Discourse

    The Language of Economic Research: How Ideology Shapes Economic Discourse

    A groundbreaking study, Political Language in Economics,  reveals how political ideology shapes economic research by analyzing academic writing patterns using machine learning techniques. The researchers found that economists’ political leanings, predicted from their writing style, correlate with their empirical findings on policy-relevant issues: conservative economists tend to find evidence supporting free-market policies. In contrast, liberal economists discover data backing government intervention. They also documented clear ideological sorting across different fields, with labor economics attracting more liberal scholars while finance and macroeconomics drawing more conservative ones. This correlation between ideology and research findings flows through even technical academic papers that are supposedly objective.

    Does this mean economics is just subjective pseudo-science? No! As philosophy of science showed us, there is no such thing as truly objective science – as Kuhn and Feyerabend demonstrated, even physics contains subjective elements. The dismal science is no exception. While this study offers valuable insights, it could benefit from more modern topic modeling approaches and the rich toolkit of corpus linguistics to deepen our understanding of how ideology manifests in economic discourse.

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  • A Practice-based Introduction toCorpus and Computational Linguistics

    A Practice-based Introduction to
    Corpus and Computational Linguistics

    We had the opportunity to discuss the very basics of corpus and computational linguistics with undergrads at Cleveland State University.

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  • Our language models course is available on github

    Our language models course is available on github

    We pushed all the materials of our language models course to github.

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  • Book review: Nine Algorithms That Changed the Future

    Book review: Nine Algorithms That Changed the Future

    We are living in the age of algorithms. Information seeking, loan application, finding a route between your home and holiday destination – all activities are mediated by technology that uses a special algorithm. What is an algorithm in simple terms? John MacCormick introduces nine notable algorithms that we use every day.

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