About this Course

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Learner Career Outcomes

32%

started a new career after completing these courses

31%

got a tangible career benefit from this course
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Approx. 61 hours to complete
English

Skills you will gain

Logistic RegressionArtificial Neural NetworkMachine Learning (ML) AlgorithmsMachine Learning

Learner Career Outcomes

32%

started a new career after completing these courses

31%

got a tangible career benefit from this course
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Approx. 61 hours to complete
English

Offered by

Placeholder

Stanford University

Syllabus - What you will learn from this course

Content RatingThumbs Up97%(1,390,137 ratings)Info
Week
1

Week 1

2 hours to complete

Introduction

2 hours to complete
5 videos (Total 42 min), 9 readings, 1 quiz
2 hours to complete

Linear Regression with One Variable

2 hours to complete
7 videos (Total 70 min), 8 readings, 1 quiz
2 hours to complete

Linear Algebra Review

2 hours to complete
6 videos (Total 61 min), 7 readings, 1 quiz
Week
2

Week 2

3 hours to complete

Linear Regression with Multiple Variables

3 hours to complete
8 videos (Total 65 min), 16 readings, 1 quiz
5 hours to complete

Octave/Matlab Tutorial

5 hours to complete
6 videos (Total 80 min), 2 readings, 2 quizzes
Week
3

Week 3

2 hours to complete

Logistic Regression

2 hours to complete
7 videos (Total 71 min), 8 readings, 1 quiz
5 hours to complete

Regularization

5 hours to complete
4 videos (Total 39 min), 5 readings, 2 quizzes
Week
4

Week 4

5 hours to complete

Neural Networks: Representation

5 hours to complete
7 videos (Total 63 min), 6 readings, 2 quizzes

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