Algorithms
What step is "Choose an algorithm"?
Step #3
What are the 2 main jobs of machine learning models?
Classification and prediction.
What step of making a machine learning program is "Acquire Data"?
Step #1
What is the definition of machine learning?
Machine learning is a field of computer science that aims to teach computers how to learn and act without being explicitly programmed.
What is the simplest algorithms for machine learning?
Linear regression.
Is identifying a tumor in a patient classification or prediction?
Classification.
What are the 2 types of data inputted into AI models?
A testing set and a training set of data.
What programming language is most commonly used for machine learning models?
What is a decision tree?
An algorithm that assigns different weights to different aspects of the data.
How do cars use classification AI?
How is the training set of data sourced?
From a source that the AI model will be used to classify/predict, and this data is always unprocessed.
How is machine learning similar to organic life>
With data and experience. machine learning models produce newer and better results, similar to humans and other organisms.
When might you want to use a decision tree or convolutional neural network rather than linear regression?
For classification of complex data like images or prediction of high-level data like user preference.
What is the purpose of a prediction-based machine learning model for a large multimedia industry?
Predicting user preferences.
How is the testing set of data created?
The testing set of data is manually processed for ensured accuracy.
How is machine learning different from the AI we have already learned?
Machine learning models are programmed by yourself and serve to complete one specific purpose well, whereas the AI we have already covered does a variety of different tasks with suboptimal efficiency.
What are the features of a convolutional neural network that makes it unique? (2 unique features)
Not only does it assign different weights to different aspects of the data, it also automatically adds additional feauters to the given data.
(Critical thinking)
Because many large social media platforms use AI to scan for content that goes against their user guidelines, what algorithm would they be most likely to use for that purpose?
Convolutional neural network as it will help identify imagery and verbal data that goes against the guidelines with far greater accuracy.
Why is data inputted into AI models?
(2 reasons)
To help it develop and output more reliable results, and to assess its accuracy.
Do you need to know programming to make machine learning models?
No, there are a few models you can make with limited knowledge in coding.