AI-900 Study - Introduction to Machine Learning
Concepts \ Answers & Questions
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Terms in this set (56)
What two disciplines does machine Data science and software engineering
learning intersect?
What is the goal of machine To use data to create a predictive model that can
learning? be incorporated into a software application or
service
What is the fundamental idea of To use data from past observations to predict
machine learning? unknown outcomes or values.
How can a machine learning model A machine learning model is a software application
be described as a function? that encapsulates a function to calculate an output
value based on one or more input values.
, If a machine learning model is Training
described as a function, what would
be the process of defining that
function?
If a machine learning model is Inferencing
described as a function, what would
be the process of using the function
after it's defined to predict a new
value?
What are the observed attributes in Features
training data called?
What is the known value of the thing Label
you want to train a model to predict
called?
In mathematical terms, what symbol x
will often refer to features?
In mathematical terms, what symbol y
will often refer to labels?
What usually comprises an an observation consists of multiple feature values,
observation in mathematical terms? where x is usually a vector [x1, x2, x3, ....]
Concepts \ Answers & Questions
Save
Terms in this set (56)
What two disciplines does machine Data science and software engineering
learning intersect?
What is the goal of machine To use data to create a predictive model that can
learning? be incorporated into a software application or
service
What is the fundamental idea of To use data from past observations to predict
machine learning? unknown outcomes or values.
How can a machine learning model A machine learning model is a software application
be described as a function? that encapsulates a function to calculate an output
value based on one or more input values.
, If a machine learning model is Training
described as a function, what would
be the process of defining that
function?
If a machine learning model is Inferencing
described as a function, what would
be the process of using the function
after it's defined to predict a new
value?
What are the observed attributes in Features
training data called?
What is the known value of the thing Label
you want to train a model to predict
called?
In mathematical terms, what symbol x
will often refer to features?
In mathematical terms, what symbol y
will often refer to labels?
What usually comprises an an observation consists of multiple feature values,
observation in mathematical terms? where x is usually a vector [x1, x2, x3, ....]
