- Deep Learning
- Artificial Neural Networks
- Tensorflow
- Data Ethics
- Performance Tuning
- Supervised Learning
- Random Forest Algorithm
- Applied Machine Learning
- Classification And Regression Tree (CART)
- Machine Learning
- Machine Learning Algorithms
- Artificial Intelligence
Advanced Learning Algorithms
Completed by Philip JM Black
February 19, 2024
34 hours (approximately)
Philip JM Black'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
