- Artificial Intelligence
- Supervised Learning
- Deep Learning
- Applied Machine Learning
- Predictive Modeling
- Classification Algorithms
- Unsupervised Learning
- Model Evaluation
- Data Science
- Reinforcement Learning
- Machine Learning
- Regression Analysis
Machine Learning Introduction for Everyone
Completed by Matthias Bittner
July 20, 2025
6 hours (approximately)
Matthias Bittner'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
