Machine Learning Introduction for Everyone
Completed by Nathaniel Baxter
October 8, 2024
6 hours (approximately)
Nathaniel Baxter's account is verified. Coursera certifies their successful completion of Machine Learning Introduction for Everyone
What you will learn
Compare and contrast artificial intelligence, machine learning, and deep learning
Explain the machine learning models development lifecycle
Differentiate between supervised and unsupervised machine learning
Evaluate classification models using metrics such as accuracy, confusion matrices, precision, and recall
Skills you will gain
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Deep Learning
- Category: Supervised Learning
- Category: Regression Analysis
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Artificial Intelligence
- Category: Machine Learning
- Category: Model Training
- Category: Applied Machine Learning
