About this Course

1,015,049 recent views
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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level

We recommend completing Supervised Learning: Regression and Classification - course 1 of the Machine Learning Specialization.

Approx. 33 hours to complete
English

What you will learn

  • Build and train a neural network with TensorFlow to perform multi-class classification

  • Apply best practices for machine learning development so that your models generalize to data and tasks in the real world

  • Build and use decision trees and tree ensemble methods, including random forests and boosted trees

Skills you will gain

  • Artificial Neural Network
  • Xgboost
  • Tensorflow
  • Tree Ensembles
  • Advice for Model Development
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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level

We recommend completing Supervised Learning: Regression and Classification - course 1 of the Machine Learning Specialization.

Approx. 33 hours to complete
English

Offered by

Placeholder

DeepLearning.AI

Placeholder

Stanford University

Syllabus - What you will learn from this course

Content RatingThumbs Up98%(19,674 ratings)
Week1
Week 1
7 hours to complete

Neural Networks

7 hours to complete
17 videos (Total 140 min)
Week2
Week 2
11 hours to complete

Neural network training

11 hours to complete
15 videos (Total 140 min)
Week3
Week 3
8 hours to complete

Advice for applying machine learning

8 hours to complete
17 videos (Total 174 min)
Week4
Week 4
7 hours to complete

Decision trees

7 hours to complete
13 videos (Total 97 min), 1 reading, 4 quizzes

Reviews

TOP REVIEWS FROM ADVANCED LEARNING ALGORITHMS

View all reviews

About the Machine Learning Specialization

Machine Learning

Frequently Asked Questions

More questions? Visit the Learner Help Center.