intuitions behind Data Science

Ashay Javadekar
  • 0,0 (0)
  • Математика

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

  1. 13.12.2021

    Loss Function

    The intuition behind loss function

    Loss Function

  2. 04.12.2021

    Central Limit Theorem

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

    Central Limit Theorem

  3. 03.12.2021

    Causality and Control

    Thoughts on causality and the need for a control sample

    Causality and Control

  4. 01.12.2021

    Neural Networks

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

    Neural Networks

  5. 29.11.2021

    Types of Data Attributes

    What are the different types of data attributes?

    Types of Data Attributes

  6. 23.11.2021

    Intercept

    Independence of the dependent variable

    Intercept

  7. 23.11.2021

    Bias and Variance

    Generalizing the estimations of population parameters

    Bias and Variance

  8. 19.11.2021

    Linear Regression

    Guessing the recipe of data!

    Linear Regression
См. все (18)

Об этом подкасте

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

Информация

  • Автор
    Ashay Javadekar
  • Годы выхода
    2021
  • Выпуски
    18
  • Ограничения
    Без ненормативной лексики
  • Авторские права
    © Ashay Javadekar
  • Сайт подкаста
    intuitions behind Data Science