- Random Forest Algorithm
- Machine Learning
- Data Ethics
- Tensorflow
- Responsible AI
- Classification And Regression Tree (CART)
- Supervised Learning
- Artificial Neural Networks
- Performance Tuning
- Decision Tree Learning
- Deep Learning
Advanced Learning Algorithms
Completed by ERIC BOYER
May 31, 2024
34 hours (approximately)
ERIC BOYER'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
