Problem Description and Pipeline

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Получаемые навыки

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

Рецензии

4.9 (оценок: 164,101)

  • 5 stars
    92,40 %
  • 4 stars
    6,90 %
  • 3 stars
    0,47 %
  • 2 stars
    0,08 %
  • 1 star
    0,13 %

BK

11 июля 2021 г.

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I've learned a lot from this machine learning course. A huge thanks to prof. Andrew for guiding me throughout this course, and also Coursera for providing me with such a platform to learn this course.

CS

15 июля 2019 г.

Filled StarFilled StarFilled StarFilled StarFilled Star

The course will give you the incites to understand the data driven mathematical functions to write softwares that can behave or change its behavior, based on stimulus (data).\n\nAndrew Ng is excellent

Из урока

Application Example: Photo OCR

Identifying and recognizing objects, words, and digits in an image is a challenging task. We discuss how a pipeline can be built to tackle this problem and how to analyze and improve the performance of such a system.

Преподаватели

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    Andrew Ng

    Instructor

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