Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Olla Abdalla
March 5, 2021
21 hours (approximately)
Olla Abdalla's account is verified. Coursera certifies their successful completion of Build Decision Trees, SVMs, and Artificial Neural Networks
What you will learn
Train and evaluate decision trees and random forests for regression and classification.
Train and evaluate support-vector machines (SVM) for regression and classification.
Train and evaluate multi-layer perceptron (ML) artificial neural networks (ANN) for regression and classification.
Train and evaluate convolutional neural networks (CNN) and recurrent neural networks (RNN) for computer vision and natural language processing tasks.
Skills you will gain
- Category: Natural Language Processing
- Category: Decision Tree Learning
- Category: Random Forest Algorithm
- Category: Machine Learning Algorithms
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Convolutional Neural Networks
- Category: Computer Vision
- Category: Recurrent Neural Networks (RNNs)
