https://www.dezyre.com/article/100-data-science-interview-questions-and-answers-general-for-2017/184
Thursday 6 April 2017
Logistic Regression
What is Logistic Regression?
What can be types of predictors (independent variables) and dependent variable?
Predictors can be continuous, categorical or mix of both.
Dependent variable is categorical (nominal), binary or multinomial.
What is Binomial LR? Multinomial LR? Give some real world examples.
When to use Logistic Regression?
Write hypothesis.
What is logistic function?
What does logistic function actually do?
Write cost function.
Explain how cost function adds cost (error) in case when hypothesis predicts wrong outcome and how it handles the case when hypothesis predicts right value.
Write regularized cost function.
References:
https://www.r-bloggers.com/how-to-perform-a-logistic-regression-in-r/
https://github.com/BojanKomazec/machine-learning-stanford-course/blob/master/machine-learning-ex2/ex2.pdf
What can be types of predictors (independent variables) and dependent variable?
Predictors can be continuous, categorical or mix of both.
Dependent variable is categorical (nominal), binary or multinomial.
What is Binomial LR? Multinomial LR? Give some real world examples.
When to use Logistic Regression?
Write hypothesis.
What is logistic function?
What does logistic function actually do?
Write cost function.
Explain how cost function adds cost (error) in case when hypothesis predicts wrong outcome and how it handles the case when hypothesis predicts right value.
Write regularized cost function.
References:
https://www.r-bloggers.com/how-to-perform-a-logistic-regression-in-r/
https://github.com/BojanKomazec/machine-learning-stanford-course/blob/master/machine-learning-ex2/ex2.pdf
Generalized linear model
linear regression
logistic regression
etc...
References:
https://en.wikipedia.org/wiki/Generalized_linear_model
Normal (Gaussian) Distribution
Describe Normal (Gaussian) Distribution
Write probability density function, explain its parameters.
Draw couple of diagrams with examples of normal distribution and how parameters of its probability density function shape them.
References:
https://en.wikipedia.org/wiki/Normal_distribution
Write probability density function, explain its parameters.
Draw couple of diagrams with examples of normal distribution and how parameters of its probability density function shape them.
References:
https://en.wikipedia.org/wiki/Normal_distribution
Wednesday 5 April 2017
Distributions
List some distribution types.
bernoulli
multinomial
gaussian
poisson
gamma
tweedie
laplace
quantile
huber
References:
https://en.wikipedia.org/wiki/Probability_distribution
https://en.wikipedia.org/wiki/Multinomial_distribution
https://en.wikipedia.org/wiki/Bernoulli_distribution
https://en.wikipedia.org/wiki/Quantile_function
Collections in R
How to get number of rows/columns in data object x?
nrow(x)
ncol(x)
ncol(x)
How to get first/last N elements of some data object x?
head(x)
tail(x)
tail(x)
Reference:
https://stat.ethz.ch/R-manual/R-devel/library/base/html/nrow.html
https://rdrr.io/r/utils/head.html
Gradient Descent
What are the types of Gradient Descent?
- batch
- minibatch
- stochastic gradient descent
Subscribe to:
Posts (Atom)