"Most methods for supervised machine learning builds on the intuition"
Should be "Most methods (...) BUILD"
P24
"In Figure fig:ex:knn2 the decision boundaries"
I suppose "fig:ex:knn2" has some syntax error which is preventing from replacing by the correct index
P26
"However, if we take π to be too large, then the
averaging effect with wash out all interesting patterns in the data as well."
Should be WILL instead of WITH
P26
"Since selecting π either too big or too
small will lead to a meaningless classifiers"
Should be either a classifier or just classifiers without a
P31
"In Example 2.6 we illustrate how to construct a classification tree using recursive binary splitting and with
the entropy as the slitting criterion."
Should be sPlitting criterion, not slitting
P37
"Despite its relative simplicity, it is a surprisingly useful and is an
important stepping stone for more advanced methods"
'it is a surprisingly useful and is an important (...)' reads strange. Maybe either 'it is a surprisingly useful and important' or 'it is surprisingly useful and an important'
P40
βthe value of π½ for which the cost function attains it minimumβ
should be ITS minimum
P47
"The misclassification
rate is, however, not always the most important aspect of classifier."
Should be of a classifier or of classifiers.
P48 - SUGGESTION
"The decision boundary for binary classification can be computed by solving the equation (...)"
The equation is only valid for r = 0.5. Maybe either make it more explicit or change it to have two steps, one equaling g(x) to r, and other making r = 1/2 and continuing.
P53
"To address this issue we will extend our notion of parametric models to encompass various probability distribution"
Should be distributions, plural.
P54
"that is the likelihood" generally has a comma after that is
P75
"Many classifiers contains a threshold π (3.36)."
Should be contain
P80
"that is a parametric family of functions defining the model"
I believe it's that is, (with a comma)
P82
"Second, we can choose the loss function with the aim of making the optimization
problem (5.4) is easier to solve,"
Should remove IS
P84
"While cross entropy is commonly used in practice, but there are also other loss functions for binary
classification that are useful."
Should remove BUT
P88
"The idea is
then the construct a parametric model"
Should be TO construct
P96
"For instance, by using a
held-out validation dataset (see Chapter 4)"
Should it really be "held"-out?
P113
"In Section 5.1 we introduced concept of nonlinear parametric functions"
Should be THE concept
P113
"We choose to use this
notation instead of the one used in (3.2) since we will later handle the weights sightly differently"
Even though SIGHTLY exists, I believe it should be SLIGHTLY
P116
"During training the neural network model are used to compute"
Should be IS used
P117
"The vectorized equations in (6.14) is also how the model"
Should be ARE also
P124
"In this text we will focus on images, where its pixels resides
on a 2D grid."
Should be its pixels (plural) RESIDE
P127
"pooling layers can make the model more invariant to small
translations of the input mkeaning if we translate"
Should be MEANING instead of MKEANING
P132
"In dropout most of the π2 sub-networks are not
trained at all (since they have not been sampled), and those how have been trained"
and those WHICH have been trained?
P159
Equation 8.6 after text "The first step is to realize that the
prediction (...) can be rewritten as"
Missing open bracket at beginning of term after second "="
P160
"we can let π be arbitrary big"
Should be "arbitrarily"
P169
"the kernel also plays a somewhat more subtle role in methods that builds on
the representer theorem"
Should be "methods that BUILD"
P170
"The other positive semidefinite kernels below, on
the other hand, all corresponds to infinite-dimensional feature vectors"
Should be "all CORRESPOND"
P174
"The latter us used when we apply it yo the music classification"
P21
"Most methods for supervised machine learning builds on the intuition"
Should be "Most methods (...) BUILD"
P24
"In Figure fig:ex:knn2 the decision boundaries"
I suppose "fig:ex:knn2" has some syntax error which is preventing from replacing by the correct index
P26
"However, if we take π to be too large, then the averaging effect with wash out all interesting patterns in the data as well."
Should be WILL instead of WITH
P26
"Since selecting π either too big or too small will lead to a meaningless classifiers"
Should be either a classifier or just classifiers without a
P31
"In Example 2.6 we illustrate how to construct a classification tree using recursive binary splitting and with the entropy as the slitting criterion."
Should be sPlitting criterion, not slitting
P37
"Despite its relative simplicity, it is a surprisingly useful and is an important stepping stone for more advanced methods"
'it is a surprisingly useful and is an important (...)' reads strange. Maybe either 'it is a surprisingly useful and important' or 'it is surprisingly useful and an important'
P40
βthe value of π½ for which the cost function attains it minimumβ
should be ITS minimum
P47
"The misclassification rate is, however, not always the most important aspect of classifier."
Should be of a classifier or of classifiers.
P48 - SUGGESTION
"The decision boundary for binary classification can be computed by solving the equation (...)"
The equation is only valid for r = 0.5. Maybe either make it more explicit or change it to have two steps, one equaling g(x) to r, and other making r = 1/2 and continuing.
P53
"To address this issue we will extend our notion of parametric models to encompass various probability distribution"
Should be distributions, plural.
P54
"that is the likelihood" generally has a comma after that is
P75
"Many classifiers contains a threshold π (3.36)."
Should be contain
P80
"that is a parametric family of functions defining the model"
I believe it's that is, (with a comma)
P82
"Second, we can choose the loss function with the aim of making the optimization problem (5.4) is easier to solve,"
Should remove IS
P84
"While cross entropy is commonly used in practice, but there are also other loss functions for binary classification that are useful."
Should remove BUT
P88
"The idea is then the construct a parametric model"
Should be TO construct
P96
"For instance, by using a held-out validation dataset (see Chapter 4)"
Should it really be "held"-out?
P113
"In Section 5.1 we introduced concept of nonlinear parametric functions"
Should be THE concept
P113
"We choose to use this notation instead of the one used in (3.2) since we will later handle the weights sightly differently"
Even though SIGHTLY exists, I believe it should be SLIGHTLY
P116
"During training the neural network model are used to compute"
Should be IS used
P117
"The vectorized equations in (6.14) is also how the model"
Should be ARE also
P124
"In this text we will focus on images, where its pixels resides on a 2D grid."
Should be its pixels (plural) RESIDE
P127
"pooling layers can make the model more invariant to small translations of the input mkeaning if we translate"
Should be MEANING instead of MKEANING
P132
"In dropout most of the π2 sub-networks are not trained at all (since they have not been sampled), and those how have been trained"
and those WHICH have been trained?
P159
Equation 8.6 after text "The first step is to realize that the prediction (...) can be rewritten as"
Missing open bracket at beginning of term after second "="
P160
"we can let π be arbitrary big"
Should be "arbitrarily"
P169
"the kernel also plays a somewhat more subtle role in methods that builds on the representer theorem"
Should be "methods that BUILD"
P170
"The other positive semidefinite kernels below, on the other hand, all corresponds to infinite-dimensional feature vectors"
Should be "all CORRESPOND"
P174
"The latter us used when we apply it yo the music classification"
US and YO seem wrong