- Performance Metric
- Deep Learning
- Data Science
- Predictive Modeling
- Supervised Learning
- Classification And Regression Tree (CART)
- Machine Learning
- Artificial Intelligence
- Unsupervised Learning
- Reinforcement Learning
Machine Learning Introduction for Everyone
Completed by Eirini Theodoropoulou
June 17, 2024
6 hours (approximately)
Eirini Theodoropoulou'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
