- Machine Learning
- Artificial Intelligence
- Reinforcement Learning
- Deep Learning
- Predictive Modeling
- Classification Algorithms
- Data Science
- Model Evaluation
- Applied Machine Learning
- Unsupervised Learning
- Supervised Learning
- Regression Analysis
Machine Learning Introduction for Everyone
Completed by Nitin Rajasekar
August 25, 2024
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
