- Machine Learning
- Model Evaluation
- Random Forest Algorithm
- Classification Algorithms
- Artificial Neural Networks
- Tensorflow
- Applied Machine Learning
- Performance Tuning
- Transfer Learning
- Logistic Regression
- Decision Tree Learning
- Data Ethics
Advanced Learning Algorithms
Completed by MOHAMMADMEHDI SHIRVANI SAADATABADI
December 1, 2024
34 hours (approximately)
MOHAMMADMEHDI SHIRVANI SAADATABADI'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
