- Artificial Neural Networks
- Deep Learning
- Natural Language Processing
- Supervised Learning
- Regression Analysis
- Computer Vision
- Random Forest Algorithm
- Applied Machine Learning
- Machine Learning Algorithms
- Decision Tree Learning
Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Oleksandr Andreiev
June 25, 2025
21 hours (approximately)
Oleksandr Andreiev'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
