Machine learning algorithms make it possible for self-driving cars to exist. They allow a car to collect data on its surroundings from cameras and other sensors, interpret it, and decide what actions to take. Machine learning even allows cars to learn how to perform these tasks as well as (or even better than) humans.
List of Common Machine Learning Algorithms
- Linear Regression.
- Logistic Regression.
- Decision Tree.
- SVM.
- Naive Bayes.
- kNN.
- K-Means.
- Random Forest.
Machine learning in autonomous driving can be supervised or unsupervised. The main difference between the two options lies in the amount of human input required for learning. In supervised learning, a computer interprets data and makes predictions based on input data, then compares those predictions to correct output data in order to improve future predictions. In unsupervised learning, data isn’t labeled. So the computer learns to recognize the inherent structure based on input data only.
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