Kernels II

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Получаемые навыки

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

Рецензии

4.9 (оценок: 157,931)
  • 5 stars
    92.44%
  • 4 stars
    6.89%
  • 3 stars
    0.45%
  • 2 stars
    0.08%
  • 1 star
    0.11%
CC
19 июня 2018 г.

good course; just 2 suggestions: improve the skew data part (week 6) and furnish the formula to evaluate the number of iteration in the window from image dimension, window dimension and step (week 11)

PM
13 июля 2019 г.

This course is amazing and covers most of the ML algorithms. I really liked that this course has emphasized math behind each technique which helps to choose the best algorithm while solving a problem.

Из урока
Support Vector Machines
Support vector machines, or SVMs, is a machine learning algorithm for classification. We introduce the idea and intuitions behind SVMs and discuss how to use it in practice.

Преподаватели

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    Andrew Ng

    Instructor

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