AI Flashcards
What is AI?
Regulation for AI
What is machine learning
Different types of ML
ML applications
Advantages and disadvantages of ML
Supervised learning and its main algorithms
Unsupervised learning and key concepts
Reinforcement learning and its types
Differences between ML and DL
Linear regression
Logistic regression
K-nearest neighbours
Decision trees
Naive bayes
Support vector machine
Random forest
What are the common metrics?
ML libraries
Main DL algorithms
What is deep learning and neural networks
Architecture of neural networks
Backpropagation
Single-layer perceptron
Multi-layer perceptron
Convolutionsl neural networks
Recurrent neural network
Long-short term memory
Generative adversarial networks
Transformers
Overfitting
DL libraries
Natural language processing
Generative AI
What is python programming
What multi-paradigm support means?
What’s an interpreted language?
What are dynamically typed variables?
Which are the data types for python?
What are python distributions?
Python libraries
Large language models
