Artificial Intelligence basics
What is the difference between AI and machine learning?
AI is broader, ML is a subset of AI.
What is the difference between AI, machine learning, and deep learning?
AI is broader, ML is subset of AI, DL is subset of ML.
How does AI work?
Combining data, processing, algorithms to learn and predict.
What is the difference between AI and deep learning?
DL is a subset of ML, inspired by the human brain.
What is the difference between machine learning and deep learning?
DL structures algorithms in layers, inspired by the human brain.
What is the first step in AI?
Data acquisition: collecting relevant data.
What is the second step in AI?
Data processing: organizing and cleaning the data.
What is the final step in AI?
Deployment: implementing the model in real-world systems.
What are some applications of AI in finance?
Fraud detection, risk assessment, robo-advisory for investments.
What are real-world applications of AI in entertainment?
Gaming, movie recommendations, personalized content.
What is the benefit of AI in entertainment?
Gaming, movie recommendations, personalized content.
What is learning in AI?
Improving performance over time through machine learning algorithms.
What is perception in AI?
Interpreting sensory data to interact with the environment.
What is the third step in AI?
Modeling: using algorithms to create predictive models.
What are real-world applications of AI in healthcare?
Predicting diseases, aiding in diagnosis, personalized medicine.
What is the benefit of AI in healthcare?
Predicting diseases, aiding in diagnosis, personalized medicine.
What are some applications of AI in retail?
Predictive inventory, personalized marketing, customer service through chatbots.
What are real-world applications of AI in automotive?
Self-driving cars, perceiving environment and making decisions.
What is the benefit of AI in automotive?
Self-driving cars, perceiving environment and making decisions.
What is Artificial Intelligence (AI)?
Simulation of human intelligence in machines.
What is problem-solving in AI?
Solving complex tasks by understanding and producing solutions.
What is deep learning (DL)?
Structuring algorithms in layers to create artificial neural networks.
What is the fifth step in AI?
Testing: evaluating the model's performance.
What is the role of deep learning in AI?
To create artificial neural networks and make decisions.
What is the role of machine learning in AI?
To learn from data and make predictions.
What is the goal of AI?
To simulate human intelligence in machines.
What is the fourth step in AI?
Training: the model learns from the data.
What is Natural Language Processing (NLP) in AI?
Understanding and generating human language.
What is machine learning (ML)?
Using algorithms to learn from data and make predictions.
