- Applied Machine Learning
- Unsupervised Learning
- Classification Algorithms
- Reinforcement Learning
- Predictive Modeling
- Machine Learning
- Artificial Intelligence
- Model Evaluation
- Supervised Learning
- Deep Learning
- Regression Analysis
- Data Science
Machine Learning Introduction for Everyone
Completed by Namrata Raj
November 20, 2022
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
