- Random Forest Algorithm
- Applied Machine Learning
- Transfer Learning
- Decision Tree Learning
- Performance Tuning
- Deep Learning
- Supervised Learning
- Data Ethics
- Machine Learning
- Artificial Intelligence
- Artificial Neural Networks
- Logistic Regression
Advanced Learning Algorithms
Completed by Pei Ni Kwan
May 29, 2024
34 hours (approximately)
Pei Ni Kwan's account is verified. Coursera certifies their successful completion of Advanced Learning Algorithms
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
