intuitions behind Data Science

Ashay Javadekar
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  • MATHEMATIK

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

  1. Loss Function

    13.12.2021

    Loss Function

    The intuition behind loss function

    6 Min.
  2. Central Limit Theorem

    04.12.2021

    Central Limit Theorem

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

    5 Min.
  3. Causality and Control

    03.12.2021

    Causality and Control

    Thoughts on causality and the need for a control sample

    7 Min.
  4. Neural Networks

    01.12.2021

    Neural Networks

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

    9 Min.
  5. Types of Data Attributes

    29.11.2021

    Types of Data Attributes

    What are the different types of data attributes?

    13 Min.
  6. Intercept

    23.11.2021

    Intercept

    Independence of the dependent variable

    7 Min.
  7. Bias and Variance

    23.11.2021

    Bias and Variance

    Generalizing the estimations of population parameters

    6 Min.
  8. Linear Regression

    19.11.2021

    Linear Regression

    Guessing the recipe of data!

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

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