Machine Learning Introduction for Everyone
Completed by Gabriel Tivon Kessler
January 23, 2026
6 hours (approximately)
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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: Classification Algorithms
- Category: Unsupervised Learning
- Category: Deep Learning
- Category: Artificial Intelligence
- Category: Machine Learning
- Category: Regression Analysis
- Category: Model Training
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Artificial Intelligence and Machine Learning (AI/ML)
