Neural Networks and Random Forests
By Coursera
on Coursera
· Data Science
About This Course
In this course, we will build on our knowledge of basic models and explore advanced AI techniques. We’ll start with a deep dive into neural networks, building our knowledge from the ground up by examining the structure and properties. Then we’ll code some simple neural network models and learn to avoid overfitting, regularization, and other hyper-parameter tricks. After a project predicting likelihood of heart disease given health characteristics, we’ll move to random forests. We’ll describe the differences between the two techniques and explore their differing origins in detail. Finally, we’ll complete a project predicting similarity between health patients using random forests.
Instructor
LearnQuest Network
Frequently Asked Questions
How much does Neural Networks and Random Forests cost?
Visit the Neural Networks and Random Forests course page for current pricing and available discounts.
Who teaches Neural Networks and Random Forests?
Neural Networks and Random Forests is taught by LearnQuest Network, LearnQuest.
What skill level is Neural Networks and Random Forests for?
This course is designed for advanced learners.