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Answer
D = { ( x 1 , y 1 ) , … , ( x n , y n ) } ⊆ R d × C

Question
[default - edit me]
Answer
?

Question
[default - edit me]
Answer
D = { ( x 1 , y 1 ) , … , ( x n , y n ) } ⊆ R d × C
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Lecture 1: Supervised Learning
upervised machine learning setup. Our training data comes in pairs of inputs (x,y) ( x , y ) , where x∈Rd x ∈ R d is the input instance and y y its label. The entire training data is denoted as <span>D={(x1,y1),…,(xn,yn)}⊆Rd×C D = { ( x 1 , y 1 ) , … , ( x n , y n ) } ⊆ R d × C where: Rd R d is the d-dimensional feature space xi x i is the input vector of the ith i t h sample yi y i is the label of the ith i

Summary

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

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