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	http://rasbt.github.io/mlxtend/
	https://github.com/epgauss/python-machine-learning-book#faq
	https://github.com/epgauss/python-machine-learning-book#general-questions
What are machine learning and data science?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/datascience-ml.md
Why do you and other people sometimes implement machine learning algorithms from scratch?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/implementing-from-scratch.md
What learning path/discipline in data science I should focus on?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/data-science-career.md
At what point should one start contributing to open source?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/open-source.md
How important do you think having a mentor is to the learning process?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/mentor.md
Where are the best online communities centered around data science/machine learning or python?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/ml-python-communities.md
How would you explain machine learning to a software engineer?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/ml-to-a-programmer.md
How would your curriculum for a machine learning beginner look like?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/ml-curriculum.md
What is the Definition of Data Science?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/definition_data-science.md
	https://github.com/epgauss/python-machine-learning-book#questions-about-the-machine-learning-field
What are some real-world examples of applications of machine learning in the field?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/ml-examples.md
What are the different fields of study in data mining?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/datamining-overview.md
What are differences in research nature between the two fields: machine learning & data mining?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/datamining-vs-ml.md
How do I know if the problem is solvable through machine learning?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/ml-solvable.md
What are the origins of machine learning?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/ml-origins.md
How was classification, as a learning machine, developed?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/classifier-history.md
Which machine learning algorithms can be considered as among the best?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/best-ml-algo.md
What are the broad categories of classifiers?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/classifier-categories.md
What is the difference between a classifier and a model?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/difference_classifier_model.md
What is the difference between a parametric learning algorithm and a nonparametric learning algorithm?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/parametric_vs_nonparametric.md
What is the difference between a cost function and a loss function in machine learning?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/cost-vs-loss.md
	https://github.com/epgauss/python-machine-learning-book#questions-about-ml-concepts-and-statistics
	https://github.com/epgauss/python-machine-learning-book#cost-functions-and-optimization
Fitting a model via closed-form equations vs. Gradient Descent vs Stochastic Gradient Descent vs Mini-Batch Learning -- what is the difference?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/closed-form-vs-gd.md
How do you derive the Gradient Descent rule for Linear Regression and Adaline?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/linear-gradient-derivative.md
	https://github.com/epgauss/python-machine-learning-book#regression-analysis
What is the difference between Pearson R and Simple Linear Regression?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/pearson-r-vs-linear-regr.md
	https://github.com/epgauss/python-machine-learning-book#tree-models
How does the random forest model work? How is it different from bagging and boosting in ensemble models?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/bagging-boosting-rf.md
What are the disadvantages of using classic decision tree algorithm for a large dataset?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/decision-tree-disadvantages.md
Why are implementations of decision tree algorithms usually binary, and what are the advantages of the different impurity metrics?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/decision-tree-binary.md
Why are we growing decision trees via entropy instead of the classification error?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/decisiontree-error-vs-entropy.md
When can a random forest perform terribly?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/random-forest-perform-terribly.md
	https://github.com/epgauss/python-machine-learning-book#model-evaluation
What is overfitting?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/overfitting.md
Is it always better to have the largest possible number of folds when performing cross validation?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/number-of-kfolds.md
When training an SVM classifier, is it better to have a large or small number of support vectors?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/num-support-vectors.md
How do I evaluate a model?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/evaluate-a-model.md
What is the best validation metric for multi-class classification?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/multiclass-metric.md
What factors should I consider when choosing a predictive model technique?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/choosing-technique.md
What are the best toy datasets to help visualize and understand classifier behavior?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/clf-behavior-data.md
	https://github.com/epgauss/python-machine-learning-book#logistic-regression
What is Softmax regression and how is it related to Logistic regression?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/softmax_regression.md
Why is logistic regression considered a linear model?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/logistic_regression_linear.md
What is the probabilistic interpretation of regularized logistic regression?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/probablistic-logistic-regression.md
Does regularization in logistic regression always results in better fit and better generalization?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/regularized-logistic-regression-performance.md
What is the major difference between naive Bayes and logistic regression?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/naive-bayes-vs-logistic-regression.md
What exactly is the "softmax and the multinomial logistic loss" in the context of machine learning?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/softmax.md
What is the relation between Loigistic Regression and Neural Networks and when to use which?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/logisticregr-neuralnet.md
Is there an analytical solution to Logistic Regression similar to the Normal Equation for Linear Regression?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/logistic-analytical.md
	https://github.com/epgauss/python-machine-learning-book#neural-networks-and-deep-learning
What is the difference between deep learning and usual machine learning?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/difference-deep-and-normal-learning.md
Can you give a visual explanation for the back propagation algorithm for neural networks?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/visual-backpropagation.md
Why did it take so long for deep networks to be invented?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/inventing-deeplearning.md
What are some good books/papers for learning deep learning?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/deep-learning-resources.md
Why are there so many deep learning libraries?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/many-deeplearning-libs.md
Why do some people hate neural networks/deep learning?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/deeplearning-criticism.md
How can I know if Deep Learning works better for a specific problem than SVM or random forest?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/deeplearn-vs-svm-randomforest.md
	https://github.com/epgauss/python-machine-learning-book#other-algorithms-for-supervised-learning
Why is Nearest Neighbor a Lazy Algorithm?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/lazy-knn.md
	https://github.com/epgauss/python-machine-learning-book#unsupervised-learning
What are some of the issues with clustering?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/issues-with-clustering.md
	https://github.com/epgauss/python-machine-learning-book#semi-supervised-learning
What are the advantages of semi-supervised learning over supervised and unsupervised learning?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/semi-vs-supervised.md
	https://github.com/epgauss/python-machine-learning-book#ensemble-methods
Is Combining Classifiers with Stacking Better than Selecting the Best One?	https://github.com/epgauss/python-machine-learning-book/blob/master/logistic-boosting.md
	https://github.com/epgauss/python-machine-learning-book#preprocessing
Why do we need to re-use training parameters to transform test data?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/scale-training-test.md
What are the different dimensionality reduction methods in machine learning?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/dimensionality-reduction.md
What is the difference between LDA and PCA for dimensionality reduction?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/lda-vs-pca.md
When should I apply data normalization/standardization?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/when-to-standardize.md
Does mean centering or feature scaling affect a Principal Component Analysis?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/pca-scaling.md
How do you attack a machine learning problem with a large number of features?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/large-num-features.md
What are some common approaches for dealing with missing data?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/missing-data.md
	https://github.com/epgauss/python-machine-learning-book#naive-bayes
Why is the Naive Bayes Classifier naive?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/naive-naive-bayes.md
What is the decision boundary for Naive Bayes?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/naive-bayes-boundary.md
Can I use Naive Bayes classifiers for mixed variable types?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/naive-bayes-vartypes.md
Is it possible to mix different variable types in Naive Bayes, for example, binary and continues features?	https://github.com/epgauss/python-machine-learning-book/blob/master/naive-bayes-vartypes.md
	https://github.com/epgauss/python-machine-learning-book#other
What is Euclidean distance in terms of machine learning?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/euclidean-distance.md
When should one use median, as opposed to the mean or average?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/median-vs-mean.md
	https://github.com/epgauss/python-machine-learning-book#programming-languages-for-data-science-and-ml
Is R used extensively today in data science?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/r-in-datascience.md
	https://github.com/epgauss/python-machine-learning-book#questions-about-the-book
Can I use paragraphs and images from the book in presentations or my blog?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/copyright.md
How is this different from other machine learning books?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/different.md
Which version of Python was used in the code examples?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/py2py3.md
Which technologies and libraries are being used?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/technologies.md
Which book version/format would you recommend?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/version.md
Why did you choose Python for machine learning?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/why-python.md
Why do you use so many leading and trailing underscores in the code examples?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/underscore-convention.md
Are there any prerequisites and recommended pre-readings?	https://github.com/epgauss/python-machine-learning-book/blob/master/faq/prerequisites.md
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