- Artificial Intelligence
- Model Evaluation
- Unsupervised Learning
- Applied Machine Learning
- Deep Learning
- Machine Learning
- Data Science
- Classification Algorithms
- Predictive Modeling
- Reinforcement Learning
- Regression Analysis
- Supervised Learning
Machine Learning Introduction for Everyone
Completed by Liliia Hoefner
July 1, 2023
6 hours (approximately)
Liliia Hoefner'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
