Artifical Intelligence (AI)

Question 1

machines that can perform tasks that require human intelligence

Answer 1

artificial intelligence (AI)

Question 2

developing algorithms and models that can allow computers to perform tasks without explicit instructions; primary focus is working with and learning from data

Answer 2

machine learning (ML)

Question 3

a computational model featuring a collection of nodes organized into layers

Answer 3

neural network

Question 4

occurs when you train your model on input data and output data (called labels); useful for classification tasks

Answer 4

supervised learning

Question 5

matrix used to evaluate the performance of a supervised learning model

Answer 5

confusion matrix

Question 6

the four entries in the confusion matrix

Answer 6

true positives (TP); true negatives (TN); false positives (FP); false negatives (FN)

Question 7

correctly identified something as positive

Answer 7

true positive

Question 8

correctly identified something as negative

Answer 8

true negative

Question 9

incorrectly identified something as positive

Answer 9

false positive (type 1 error)

Question 10

incorrectly identified something as negative

Answer 10

false negative (type 2 error)

Question 11

we do not provide our model any labels; our model can learn properties about the data on its own; great for associations and clustering

Answer 11

unsupervised learning

Question 12

one or more agents learn to make decisions as they interact with the environment; they receive rewards and penalties; respond to this feedback; new actions will maximize their rewards over time

Answer 12

reinforcement learning