intuitions behind Data Science

Ashay Javadekar
  • 3.9(7개의 평가)
  • 수학

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

  1. Loss Function

    2021. 12. 13.

    Loss Function

    The intuition behind loss function

    6분
  2. Central Limit Theorem

    2021. 12. 04.

    Central Limit Theorem

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

    5분
  3. Causality and Control

    2021. 12. 03.

    Causality and Control

    Thoughts on causality and the need for a control sample

    7분
  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?

    9분
  5. Types of Data Attributes

    2021. 11. 29.

    Types of Data Attributes

    What are the different types of data attributes?

    13분
  6. Intercept

    2021. 11. 23.

    Intercept

    Independence of the dependent variable

    7분
  7. Bias and Variance

    2021. 11. 23.

    Bias and Variance

    Generalizing the estimations of population parameters

    6분
  8. Linear Regression

    2021. 11. 19.

    Linear Regression

    Guessing the recipe of data!

    7분
모두 보기(18개)

평가 및 리뷰

3.9
최고 5점
7개의 평가

소개

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

정보

  • 제작진
    Ashay Javadekar
  • 방송 연도
    2021년
  • 에피소드
    18
  • 등급
    전체 연령 사용가
  • 저작권
    © Ashay Javadekar
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    intuitions behind Data Science