Examples of using In supervised learning in English and their translations into Chinese
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In supervised learning, the"answer" or"result" portion of an example.
In supervised learning, the"answer" or"result" portion of an example.
This is an introductory-level course in supervised learning which gives more focus on regression and classification methods.
In supervised learning, you are letting the computer work out that relationship for you.
In supervised learning, the training set you feed to the algorithm includes the desired solutions, called labels(Figure 1-5).
So for each example in Supervised Learning, we were told explicitly what is the so-called right answer, whether it's benign or malignant.
In supervised learning, a typical task is classification or regression, using a set of human prepared examples.
Machine learning has achieved great success in various tasks, particularly in supervised learning tasks such as classification and regression.
We call this principle equality of opportunity in supervised learning.
Because its government collects such a vast amount of data, China will continue to lead the world in supervised learning accuracy.
As a Machine Learning technique, regression finds its foundation in supervised learning.
They are divided in regression and classification trees, and thus can be used in supervised learning problems.
This is what we already do in supervised learning, this is what Judea Pearl called curve fitting.
They are divided in regression and classification trees, and thus can be used in supervised learning problems.
In supervised learning, removing the anomalous data from the dataset often results in a statistically significant increase in accuracy.
Feedback is provided not from of a teaching process as in supervised learning, but as punishments and rewards in the environment.
Note that in supervised learning problems such as regression(and classification), we are not seeking to model the distribution of the input variables.
The'supervised' in supervised learning refers to the fact that each sample within the data being used to build the system contains an associated label.
Also, we can use it in a supervised learning method.
This is what we usually estimate in supervised machine learning.