intuitions behind Data Science

Ashay Javadekar
  • 3,9 (7)
  • МАТЕМАТИКА

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

  1. Loss Function

    13.12.2021

    Loss Function

    The intuition behind loss function

    6 мин.
  2. Central Limit Theorem

    04.12.2021

    Central Limit Theorem

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

    5 мин.
  3. Causality and Control

    03.12.2021

    Causality and Control

    Thoughts on causality and the need for a control sample

    7 мин.
  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 мин.
  5. Types of Data Attributes

    29.11.2021

    Types of Data Attributes

    What are the different types of data attributes?

    13 мин.
  6. Intercept

    23.11.2021

    Intercept

    Independence of the dependent variable

    7 мин.
  7. Bias and Variance

    23.11.2021

    Bias and Variance

    Generalizing the estimations of population parameters

    6 мин.
  8. Linear Regression

    19.11.2021

    Linear Regression

    Guessing the recipe of data!

    7 мин.
См. все (18)

Оценки и отзывы

3,9
из 5
Оценок: 7

Об этом подкасте

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

Информация

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