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luminary.blog
by Oz Akan
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Recent Posts

  • Amazon SageMaker offers a wide range of built-in algorithms to simplify and accelerate machine learning (ML) projects.

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  • Factorization Machines (FMs) are a type of machine learning model that helps us make predictions based on data.

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  • Due to superposition and entanglement, a quantum computer can, for certain problems, explore a vast number of possibilities in parallel, potentially solving some problems much faster than classical computers.

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  • Your Mistakes Are Mine, Your Wins Are Yours

    Great leadership isn't about claiming credit when things go well.

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  • Amazon SageMaker Linear Learner is a machine learning algorithm that helps solve two main types of problems.

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  • Choosing the right features is crucial for building an accurate and efficient model.

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  • A comphrensive guide to ML Development Lifecycle with best practices.

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  • Improv Principles for the Workplace

    How Tina Fey's Rules Can Transform Your Professional Life

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  • By focusing on better error suppression at the physical level, rather than just adding more qubits, Amazon is attempting to make the path to practical quantum computing more efficient and achievable in the near term.

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