Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Abdullah Alarfaj
February 2, 2024
21 hours (approximately)
Abdullah Alarfaj'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: Decision Tree Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Predictive Modeling
- Category: Classification And Regression Tree (CART)
- Category: Deep Learning
- Category: Natural Language Processing
- Category: Supervised Learning
- Category: Artificial Neural Networks
- Category: Computer Vision
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
