Machine Learning 1

Machine Learning 1

• Overview of Machine Learning
• Nearest Neighbor Classifier (NNC)
• Data: Observed from the past à training data
• Model: design the model to get the pattern in the data
• Predict: Apply the model to predict future data
• Decision Boundary
• How to measure the performance
• Test Error
• Hyper-parameters in NNC
• Advantage and disadvantage of NNC