Gradient Descent for Multiple Variables

video-placeholder
Loading...
Просмотреть программу курса

Получаемые навыки

Logistic Regression, Artificial Neural Network, Machine Learning (ML) Algorithms, Machine Learning

Рецензии

4.9 (оценок: 159,106)
  • 5 stars
    92.43%
  • 4 stars
    6.89%
  • 3 stars
    0.46%
  • 2 stars
    0.08%
  • 1 star
    0.12%
RP
9 июня 2020 г.

This is a great way to get an introduction to the main machine learning models. The professor is very didactic and the material is good too. I recommend it to everyone beginning to learn this science.

OK
17 апр. 2018 г.

You need to know, what do you want to get out of this course. It gives you a lot of information, but be prepared to work hard with linear algeabra and make efforts to compute things in Mathlab/Octave.

Из урока
Linear Regression with Multiple Variables
What if your input has more than one value? In this module, we show how linear regression can be extended to accommodate multiple input features. We also discuss best practices for implementing linear regression.

Преподаватели

  • Placeholder

    Andrew Ng

    Instructor

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.