30 Questions
What is the main focus of Artificial Intelligence (AI)?
Developing intelligent machines that can perform tasks requiring human intelligence
What distinguishes Machine Learning (ML) from Artificial Intelligence (AI)?
ML involves teaching machines to learn from data without explicit programming
What is the primary goal of Machine Learning (ML)?
Recognizing patterns and building predictive models
Which subfield of AI uses neural networks with multiple layers to analyze complex patterns?
Deep Learning
In AI, who is in control of building the intelligent machines?
Humans using algorithms and code
What distinguishes Deep Learning from traditional Machine Learning?
Uses neural networks with multiple layers
What is the purpose of using an error function in machine learning?
To evaluate the accuracy of predictions
In which machine learning sub-category does a data scientist label the training data before using it to train the model?
Supervised learning
What is the key characteristic of unsupervised learning in machine learning?
Does not need human intervention
What does a machine learning model do with the patterns found in the training data?
Make predictions about new data
Why is supervised learning considered resource-intensive?
It requires human oversight and data labeling
Which type of machine learning model relies on a known set of input and output data during the training phase?
Supervised learning
What type of machine learning does not require human oversight?
Unsupervised learning
Which machine learning approach is useful for identifying patterns in raw datasets?
Unsupervised learning
Which type of machine learning is used when an early exploratory phase is necessary to better understand datasets?
Unsupervised learning
Which type of machine learning is used when labeled data sets are difficult or impossible to obtain?
Unsupervised learning
Which type of machine learning is used when identifying patterns in raw datasets or clustering similar data into groups?
Unsupervised learning
Which type of machine learning can be used to find patterns and trends in raw datasets?
Unsupervised learning
What is the primary objective of reinforcement learning?
To teach the model to achieve the desired outcome in an uncertain and potentially complex environment
What happens if the model performs undesired actions in reinforcement learning?
The model gets penalties
How does reinforcement learning differ from supervised learning?
In supervised learning, the designer actively interferes in how the model solves the problem
How does the model typically start the learning process in reinforcement learning?
With a random trial-and-error method
Which of the following is a real-life application of reinforcement learning?
Training autonomous vehicles to drive and park themselves without requiring human intervention
What is the goal of the machine learning model in reinforcement learning?
To maximize the total reward
What type of data does a supervised learning algorithm typically predict?
Quantitative data
What is a classification algorithm primarily used for?
Separating data into discrete classes
What is an example of a discrete label in a classification problem?
Predicting the possibility of an actor visiting a mall
Which of the following is not a technique employed in unsupervised machine learning?
Regression
What is the main difference between clustering and association rule mining?
Clustering groups data points, while ARM finds relationships between attributes
In what field does association rule mining (ARM) learning belong?
Unsupervised machine learning
Explore the difference between Artificial Intelligence (AI) and Machine Learning (ML), two closely related fields within computer science. Learn about creating intelligent machines, developing algorithms for reasoning and decision-making.
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