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  • Bias Variance: A comprehensive guide

    Data Science, Interview, Machine Learning, Statistics

    iSumant

    ·

    May 19, 2024
    bias variance trade-off

    You are taking an interview and the interviewer asks you to explain Bias variance trade-off, that means you screwed up somewhere during the course of that interview. Trust me on that. Its mostly because bias and variance with respect to model selection is seldom discussed in detail and the most asked question in the interviews.…

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  • Word2Vec: Distributed representations of words

    Data Science, Deep Learning, Natural Language Processing

    iSumant

    ·

    Dec 23, 2023
    skip-gram

    Learn the math behind word vectors and how to implement them using pytorch

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  • Data science interview preparation kit

    Data Science, Interview, Machine Learning, Statistics

    Sumant Indurkhya

    ·

    Feb 16, 2023
    Data science interview questions

    Sweat more during peace, bleed less during war. Sun Tzu, The Art of War Data scientist is most coveted job of this century. It’s lucrative and challenging at the same time. In interviews aspirants are scrutinized on so many fronts leading people into loosing track of what to focus on. Thus, for a data science…

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  • Lean path to become a successful data scientist

    Data Science, Learning Path

    Sumant Indurkhya

    ·

    Feb 11, 2023

    Why become a data scientist? A career in data science offers a unique combination of high demand, high salaries, opportunities for growth, and the chance to work on meaningful problems. If you’re interested in mathematics, computer science, and solving real-world problems, becoming a data scientist is the way to go. Required Skills for becoming a…

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Recent Posts

  • Bias Variance: A comprehensive guide
  • Word2Vec: Distributed representations of words
  • Data science interview preparation kit
  • Lean path to become a successful data scientist

Categories

  • Data Science (4)
  • Deep Learning (1)
  • Interview (2)
  • Learning Path (1)
  • Machine Learning (2)
  • Natural Language Processing (1)
  • Statistics (2)

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