Errata

In section "2.4 Loading an Excel File", the 3rd codeblock in "Solution" tab, it is as follows

# Load data
dataframe = pd.read_excel(url, sheetname=0, header=1)

Whereas it should be :-

# Load data
dataframe = pd.read_excel(url, sheet_name=0, header=1)

The underscore(_) in the argument "sheet_name" is missing.

Note from the Author or Editor:
"pd.read_excel(url, sheetname=0, header=1)" should be "pd.read_excel(url, sheet_name=0, header=1)

This is same errata that I submitted incorrectly.

(First Release)

K(x_i, x_{i'}) = (1 + \sum_{j=1}^p x_{ij} x_{i' j} )^2

should be

K(x_i, x_{i'}) = (r + \gamma \sum_{j=1}^p x_{ij} x_{i' j} )^d

(First Release)

(3rd line in p297 and last line in p300)

"typically 1" should be "typically 0".

Keras initialize bias as 0 by default.

(First Release)

"joblib.__version__" should be "sklearn.__version__".

(First Release)

"error on both the training set and test set will tend to increase." should be "error on both the training set and test set will tend to decrease."

"the training loss continues to increase" should be "the training loss continues to decrease".

(First Release)

"5,000 binary features" should be "1,000 binary features".

(First Release)

"i.e. 1, 2, and 3" should be "i.e. 0, 1, and 2".

(First Release)

"x_i correctly, w_i is increased" should be "x_i correctly, w_i is decreased".

"x_i incorrectly, w_i is decreased" should be "x_i correctly, w_i is increased".

(First Release)

"create splits to increase impurity" should be "create splits to decrease impurity".

(First Release)

"\hat{\beta_d}x_i^d" should be "\hat{\beta_d}x_1^d" in the 2nd eq.

"x_0" shoule be "x[0]" in the last paragraph, because subscript is used for features in the recipe.

(First Release)

"we run the same GridSearch" should be "we run the same GridSearchCV".

(First Release)

"V is our d x _n feature matrix(...), W is a d x r, and H is an r x n matrix" should be "V is our n x d feature matrix(...), W is a n x r, and H is an r x d matrix".

(First Release)

"define the number of parameters" should be "define the number of components".

(First Release)

"We can use the vocabulary_ method" should be "We can use the get_feature_names method"

(First Release)

"the median class of the k nearest observations" should be "the most frequent class of the k nearest observations"

(First Release)

"classes_ method" should be "classes_ attribute"

"KNN(k=5, verbose=0).complete(standardized_features)" should be "KNN(k=5, verbose=0).fit_transform(standardized_features)"

"return all rows in both employee_id and dataframe_sales" should be "return all rows in both dataframe_employee and dataframe_sales"

(First Release)

"# Select three rows" should be "# Select four rows"

(First Release)

"# Generate three random integer between 1 and 10" should be "# Generate three random integer between 0 and 10"

reshape(-1, 1) should be reshape(1, -1). In the example, it is correctly used.