Free Printable Bertelsmann AI Track Quiz Initiative #1

Worksheets

Bertelsmann AI Track Quiz Initiative #1

Total questions: 10

Worksheet time: 20mins

Name

Class

Date

What best describes Supervised Learning?

Supervised learning is a type of machine learning where inferences are drawn from datasets containing input data without labelled responses

Supervised learning is the process by which multiple models, such as classifiers, are strategically generated and combined to solve a particular problem

Supervised learning is a type of machine learning where a function is inferred from labelled training data

Supervised learning is defined as a Machine Learning method that is concerned with how software agents should take actions in an environment

Please explain the goal of A/B Testing. Choose all correct answers

A/B Testing is a statistical hypothesis testing meant for a randomized experiment with two variables, A and B.

A/B Testing is utilized to optimize the recall value of the model

A/B Testing is used to draw a conclusion whether a model is accurate or not

A/B Testing is a methodology to determine which given 2 models result the most efficient outcome

Choose all algorithm that is considered as supervised learning

Support Vector Machines

K-means clustering

Linear Regression

Neural Networks

Apriori Association

Suppose you are working on weather prediction, and you would like to predict whether or not it will be raining at 5pm tomorrow. You want to use a learning algorithm for this. Would you treat this as?

Association

Classification

Clustering

Regression

Suppose you are working on stock market prediction, Typically tens of millions of shares of Microsoft stock are traded (i.e., bought/sold) each day. You would like to predict the number of Microsoft shares that will be traded tomorrow. Would you treat this as?

Association

Classification

Clustering

Regression

What do you understand by the Selection Bias?

Selection bias occurs when the person performing the data analysis wants to prove a predetermined assumption

Selection bias is typically associated with research that doesn’t have a random selection of participants.

Selection bias happens when there are extreme discrepancy among the data value

Selection bias is the moment when the model gives an oversimplistic or overcomplicated picture of reality.

What are the differences between over-fitting and under-fitting? Choose all correct answers

A statistical model describes random error or noise instead of the underlying relationship is called over-fitting.

A statistical model describes random error or noise instead of the underlying relationship is called under-fitting.

Overfitting occurs when a statistical model or machine learning algorithm cannot capture the underlying trend of the data

Underfitting occurs when a statistical model or machine learning algorithm cannot capture the underlying trend of the data

What are Activation Functions in a Neural Network? Choose all correct answers

It finds the root mean square error of all inputted signal

It performs complex computations in the hidden layers and then transfers the result to the output layer.

It rescales the span of the input into range 0 to 1

It converts the linear input signals of a node into non-linear output to facilitate the learning of high order polynomials

Which equation below describes the hyperbolic tangent function?

$f\left(x\right)=\frac{1}{1+e^{-x}}$

$f\left(x_i\right)=\frac{\exp\left(x_{\left(i\right)}\right)}{\sum_j^{ }\exp\left(x_j\right)}$

$f\left(x\right)=\frac{e^x-e^{-x}}{e^x+e^{-x}}$

$f\left(x\right)\ =\ \max\left(0,\ x\right)$

10.

Which equation below describes the ReLU function?