Python
an immutable, ordered sequence of elements
What is a Tuple
An error due to erroneous or overly simplistic assumptions
What is Bias
This function calculates a “weighted sum” of its input, adds a bias and then decides whether a node should be “fired” or not
What is an activation function
An error that occurs when the null hypothesis is true, but is rejected
What is a Type 1 error
This is a parameter whose value is set before the learning process begins
What is a hyperparameter
A variable declared outside a function
What is a Global Variable
An algorithm that takes unlabeled points and gradually learn how to cluster them into groups by computing the mean of the distance between different points.
What is K-means
This algorithm minimizes the cost function in order to minimize an error.
What is gradient descent
This visual shows the 5-number statistical summary pictorially
What is a boxplot
This occurs when a model learns the details and noise in the training data to the degree that it adversely impacts the execution of the model on new information
What is overfitting
This statement allows skipping some part of a loop when some specific condition is met and the control is transferred to the beginning of the loop
What is a Continue statement
A graphical representation of the contrast between the true positive rate and the false positive rate at various thresholds
What is an ROC curve
This technique is used to improve the performance of a network. It revises the error and updates the weights to reduce this error
What is backpropagation
If you increase the confidence interval THIS also increases
What is the margin of error
This function is used when you need to come up with a range of continuous random variables
What is a Probability Density Function(PDF)
An object which can be traversed though
What is an iterator
The conditional probability for this algorithm is calculated as the pure product of the individual probabilities of components. This implies the absolute independence of features.
What is Naive Bayes
This activation function gives an output of X if X is positive and zeroes otherwise. It is often used for hidden layers.
What is ReLU
If the BLANK is more than then the BLANK, then we fail to reject the H0
What is the p-value and critical value
The decrease in entropy after a dataset is split on an attribute.
What is information gain
And operator that returns true when 2 operands are true
What is an IS operator
A technique that is used to discourage the complexity of a model. It does this by penalizing the loss function.
What is regularization
This technique is used to reduce the spatial dimensions of a CNN
What is pooling
A measure that indicates the extent to which two random variables change in cycle
What is Covariance
This is an iterative technique which adjusts the weight of an observation based on the last classification
What is boosting