Machine Learning Basics Flashcards
1
Q
What are the 3 types of machine learning
A
Supervised/unsupervised/reinforced
2
Q
What is reinforcement learning
A
Deciding sequential actions
3
Q
What is the difference between supervised and unsupervised learning
A
Training data is labelled in supervised
4
Q
Give some examples of unsupervised learning
A
Clustering, anomaly detection
5
Q
What are the 4 steps for building a model
A
Clean data, split data, train model, test model
6
Q
Give some examples for evaluating a model performance
A
Calculate average error, accuracy, precision
7
Q
How do you improve model performance
A
Tune the model (model parameters, features used)
