Examples of using Supervised learning in English and their translations into Swedish
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Principles of supervised learning.
Supervised learning: You learn from someone else.
It is a type of supervised learning.
Be able to use various models of artificial learning(Supervised/un-supervised learning). .
Unsupervised and supervised learning, classification and regression.
which is known as Supervised Learning.
Supervised learning: the algorithms are trained to do a particular task using historical data.
Understand various models of artificial learning(Supervised/un-supervised learning). .
Supervised Learning means that an algorithm is trained for a specific task with the help of data equipped with labels.
are a set of related supervised learning methods used for classification and regression.
Supervised learning methods for gene identification requires the input of labeled DNA sequences which specify the start
naive Bayes classifiers can be trained very efficiently in a supervised learning setting.
This method is referred to as supervised learning and can be used to see if the algorithm can learn to recognize a specific value from a set of data.
an alternative classifier based on supervised learning.
Directions and areas within learning systems: supervised learning, unsupervised learning,
categorization, and prediction, supervised learning methods deal with datasets having response variables that are either continuous or discrete.
then used what data scientists would call supervised learning to estimate the categories of all the posts.
Efficiently solve different types of supervised machine learning problems.
Supervised machine learning methods were recently used to discriminate between genomic regions experiencing purifying selection