Quiz_________________?
Supervised Learning -
Answer✅
process of building a machine learning model that is based on labeled training data.
Quiz_________________?
Unsupervised Learning -
Answer✅
process of building a machine learning model without relying on labeled training data
Quiz_________________?
Classification -
Answer✅
The process involves arranging data into a fixed number of categories.
Quiz_________________?
Overfitting -
Answer✅
The model will not perform well on new data outside the training data set because it is too
fine tuned to the training dataset.
1
, Quiz_________________?
Preprocessing Data -
Answer✅
Involves formatting and manipulating the data so that the algorithm will better learn from it.
Quiz_________________?
Binarization -
Answer✅
This is the process of converting our numerical values into Boolean values.
Quiz_________________?
Mean Removal -
Answer✅
Involves removing the mean from our feature vector so each featured is centered on zero.
Quiz_________________?
Scaling -
Answer✅
We don't want values to be artificially large or small (outliers) so we scale the data to be
more even
Quiz_________________?
Normalization -
Answer✅
to modify the values in the data so that we can measure them on a common scale.
Quiz_________________?
L1 Normalization (Lease Absolute Deviations) -
2
Supervised Learning -
Answer✅
process of building a machine learning model that is based on labeled training data.
Quiz_________________?
Unsupervised Learning -
Answer✅
process of building a machine learning model without relying on labeled training data
Quiz_________________?
Classification -
Answer✅
The process involves arranging data into a fixed number of categories.
Quiz_________________?
Overfitting -
Answer✅
The model will not perform well on new data outside the training data set because it is too
fine tuned to the training dataset.
1
, Quiz_________________?
Preprocessing Data -
Answer✅
Involves formatting and manipulating the data so that the algorithm will better learn from it.
Quiz_________________?
Binarization -
Answer✅
This is the process of converting our numerical values into Boolean values.
Quiz_________________?
Mean Removal -
Answer✅
Involves removing the mean from our feature vector so each featured is centered on zero.
Quiz_________________?
Scaling -
Answer✅
We don't want values to be artificially large or small (outliers) so we scale the data to be
more even
Quiz_________________?
Normalization -
Answer✅
to modify the values in the data so that we can measure them on a common scale.
Quiz_________________?
L1 Normalization (Lease Absolute Deviations) -
2
