AI Flashcards
(42 cards)
1
Q
What is AI?
A
2
Q
Regulation for AI
A
3
Q
What is machine learning
A
4
Q
Different types of ML
A
5
Q
ML applications
A
6
Q
Advantages and disadvantages of ML
A
7
Q
Supervised learning and its main algorithms
A
8
Q
Unsupervised learning and key concepts
A
9
Q
Reinforcement learning and its types
A
10
Q
Differences between ML and DL
A
11
Q
Linear regression
A
12
Q
Logistic regression
A
13
Q
K-nearest neighbours
A
14
Q
Decision trees
A
15
Q
Naive bayes
A
16
Q
Support vector machine
A
17
Q
Random forest
A
18
Q
What are the common metrics?
A
19
Q
ML libraries
A
20
Q
Main DL algorithms
A
21
Q
What is deep learning and neural networks
A
22
Q
Architecture of neural networks
A
23
Q
Backpropagation
A
24
Q
Single-layer perceptron
A
25
Multi-layer perceptron
26
Convolutionsl neural networks
27
Recurrent neural network
28
Long-short term memory
29
Generative adversarial networks
30
Transformers
31
Overfitting
32
DL libraries
33
Natural language processing
34
Generative AI
35
What is python programming
36
What multi-paradigm support means?
37
What’s an interpreted language?
38
What are dynamically typed variables?
39
Which are the data types for python?
40
What are python distributions?
41
Python libraries
42
Large language models
