intuitions behind Data Science

Ashay Javadekar
  • ٤٫٠ (٨)
  • الرياضيات

No math, no equations, just intuitions behind Data Science.

  1. Loss Function

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    Loss Function

    The intuition behind loss function

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  2. Central Limit Theorem

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    Central Limit Theorem

    A quick introduction to central limit theorem and why it helps data analysis

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  3. Causality and Control

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    Causality and Control

    Thoughts on causality and the need for a control sample

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  4. Neural Networks

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    Neural Networks

    Can we think of neural networks as layers of decisions with regression and classification at each layer?

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  5. Types of Data Attributes

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    Types of Data Attributes

    What are the different types of data attributes?

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  6. Intercept

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    Intercept

    Independence of the dependent variable

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  7. Bias and Variance

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    Bias and Variance

    Generalizing the estimations of population parameters

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  8. Linear Regression

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    Linear Regression

    Guessing the recipe of data!

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No math, no equations, just intuitions behind Data Science.

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  • صناع العمل
    Ashay Javadekar
  • سنوات النشاط
    ٢٠٢١
  • الحلقات
    ١٨
  • التقييم
    ملائم
  • حقوق النشر
    © Ashay Javadekar
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    intuitions behind Data Science