- Decision Tree Learning
- Model Evaluation
- Random Forest Algorithm
- Supervised Learning
- Artificial Intelligence
- Logistic Regression
- Artificial Neural Networks
- Data Ethics
- Applied Machine Learning
- Performance Tuning
- Tensorflow
- Deep Learning
Advanced Learning Algorithms
Completed by Daniel Pérez Hernández
June 24, 2024
34 hours (approximately)
Daniel Pérez Hernández'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
