intuitions behind Data Science

Ashay Javadekar
  • 3.9（7則評分）
  • 數學

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

  1. Loss Function

    2021/12/13

    Loss Function

    The intuition behind loss function

    6 分鐘
  2. Central Limit Theorem

    2021/12/04

    Central Limit Theorem

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

    5 分鐘
  3. Causality and Control

    2021/12/03

    Causality and Control

    Thoughts on causality and the need for a control sample

    7 分鐘
  4. Neural Networks

    2021/12/01

    Neural Networks

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

    9 分鐘
  5. Types of Data Attributes

    2021/11/29

    Types of Data Attributes

    What are the different types of data attributes?

    13 分鐘
  6. Intercept

    2021/11/23

    Intercept

    Independence of the dependent variable

    7 分鐘
  7. Bias and Variance

    2021/11/23

    Bias and Variance

    Generalizing the estimations of population parameters

    6 分鐘
  8. Linear Regression

    2021/11/19

    Linear Regression

    Guessing the recipe of data!

    7 分鐘
顯示全部 (18)

評分與評論

3.9
（滿分 5 顆星）
7 則評分

簡介

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

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