Question
Question: 2
Below lists a few possible steps in the machine learning (ML) process. Choose the option below that correctly puts the relevant ones in the correct order:
A) The ML model can make informed decisions about future data.
B) Input data is gathered.
C) Once trained, the programmers test the ML model with the same training data to ensure accuracy.
D) The ML model learns from a selection input data.
E) The ML model has a conception of the story told by the training data.
B, E, A, D
E, B, D, C, A
B, D, E, A
B, D, C, E, A
Question: 3
What is a machine learning model?
It’s a collection of mathematical expressions and algorithms that can be configured in the training process.
It’s the ideal human-like intelligence that AI research is working toward.
It’s what programmers call the dataset that trains the AI algorithms.
It’s the first prototype of an AI system that can be used to build similar AI systems in the future.
Question: 4
Choose the option below that describes a potential negative effect of using a poor selection of data to train the machine learning model.
The model can only make a few decisions before needing to be trained again.
The model will not be able to run because its training is in complete.
The model will make decisions based off training that was incomplete or incorrect.
The model will actually be totally fine, since it was able to learn from the data and fill in any gaps that may have been present. That is the beauty of working with artificial intelligence systems.
Below lists a few possible steps in the machine learning (ML) process. Choose the option below that correctly puts the relevant ones in the correct order:
A) The ML model can make informed decisions about future data.
B) Input data is gathered.
C) Once trained, the programmers test the ML model with the same training data to ensure accuracy.
D) The ML model learns from a selection input data.
E) The ML model has a conception of the story told by the training data.
B, E, A, D
E, B, D, C, A
B, D, E, A
B, D, C, E, A
Question: 3
What is a machine learning model?
It’s a collection of mathematical expressions and algorithms that can be configured in the training process.
It’s the ideal human-like intelligence that AI research is working toward.
It’s what programmers call the dataset that trains the AI algorithms.
It’s the first prototype of an AI system that can be used to build similar AI systems in the future.
Question: 4
Choose the option below that describes a potential negative effect of using a poor selection of data to train the machine learning model.
The model can only make a few decisions before needing to be trained again.
The model will not be able to run because its training is in complete.
The model will make decisions based off training that was incomplete or incorrect.
The model will actually be totally fine, since it was able to learn from the data and fill in any gaps that may have been present. That is the beauty of working with artificial intelligence systems.
Answers
GPT-4o mini
**Question 2:**
The correct order of the steps in the machine learning process is:
**B, D, E, C, A**
This order means:
1. Input data is gathered (B).
2. The ML model learns from a selection of input data (D).
3. The ML model has a conception of the story told by the training data (E).
4. Once trained, the programmers test the ML model with the same training data to ensure accuracy (C).
5. The ML model can make informed decisions about future data (A).
---
**Question 3:**
The correct answer is:
**It’s a collection of mathematical expressions and algorithms that can be configured in the training process.**
This defines a machine learning model as it refers to the underlying methods and functions that allow the model to identify patterns and make predictions based on data.
---
**Question 4:**
The correct option that describes a potential negative effect of using a poor selection of data to train the machine learning model is:
**The model will make decisions based off training that was incomplete or incorrect.**
This indicates that if the training data is not representative or quality, the model's predictions may be flawed or biased.
The correct order of the steps in the machine learning process is:
**B, D, E, C, A**
This order means:
1. Input data is gathered (B).
2. The ML model learns from a selection of input data (D).
3. The ML model has a conception of the story told by the training data (E).
4. Once trained, the programmers test the ML model with the same training data to ensure accuracy (C).
5. The ML model can make informed decisions about future data (A).
---
**Question 3:**
The correct answer is:
**It’s a collection of mathematical expressions and algorithms that can be configured in the training process.**
This defines a machine learning model as it refers to the underlying methods and functions that allow the model to identify patterns and make predictions based on data.
---
**Question 4:**
The correct option that describes a potential negative effect of using a poor selection of data to train the machine learning model is:
**The model will make decisions based off training that was incomplete or incorrect.**
This indicates that if the training data is not representative or quality, the model's predictions may be flawed or biased.