MIS 4320 MidTerm - mult choice only

Which deep learning framework adds support to the LuaJIT library? A) Torch B) Caffe C) TensorFlow D) Theano

A) Torch

In the opening vignette, the results did not include: A) elimination of fraud completely at 15% of branches. B) reduction in false positives by 60%. C) increase in true positives by 50%. D) resources focused on actual cases of fraud.

A) elimination of fraud completely at 15% of branches.

In the opening vignette, predictive modeling is described as: A) estimating the future using the past. B) not yet accepted in the business world. C) the least practiced branch of data mining. D) unable to handle complex predictive problems.

A) estimating the future using the past.

Why is pretraining a deep MLP network appropriate? A) increases the chances of a global optimum being reached B) is necessary always necessary for this type of network C) increases duration before global optimum is reached D) none of these

A) increases the chances of a global optimum being reached

Which of the following is a data mining myth? A) Data mining is a multistep process that requires deliberate, proactive design and use. B) Data mining requires a separate, dedicated database. C) The current state-of-the-art is ready to go for almost any business. D) Newer Web-based tools enable managers of all educational levels to do data mining.

B) Data mining requires a separate, dedicated database.

Which of the following is not a key finding related to the use of AI in banking? A) Technologies help banks improve both their front-office and back-office operations. B) Growth of AI applications in banking has slowed. C) Facial recognition is used for safer online banking. D) Advanced analytics helps customers with investment decision.

B) Growth of AI applications in banking has slowed.

Which of the following is not a best practice in dashboard design? A) validate the dashboard design by a usability specialist B) disregard guided analytics in lieu of a detailed manual C) present information in three different levels D) enrich the dashboard with business-user comments

B) disregard guided analytics in lieu of a detailed manual

GPU hardware is often used for deep neural networks. What does GPU stand for? A) game processing unit B) graphics processing unit C) gated power unit D) gated processing utilizer

B) graphics processing unit

Which element in an artificial neural network roughly corresponds to a dendrite in a human brain? A) node B) input C) output D) weight

B) input

This activity can be complex because it is necessary to make sure what knowledge is needed. It must fit the desired system. A) knowledge identification B) knowledge acquisition C) knowledge representation D) knowledge reasoning

B) knowledge acquisition

These contain codes assigned to objects or events as labels that also represent the rank order among them. A) numeric data B) ordinal data C) interval data D) nominal data

B) ordinal data

What concept do CNN's use to avoid large numbers of weight parameters being defined and trained? A) convolutional theory B) parameter sharing C) filtering D) all of these

B) parameter sharing

Using the k-nearest neighbor machine learning algorithm for classification, larger values of k: A) sharpen the distinction between classes. B) reduce the effect of noise on the classification. C) increase the effect of noise on the classification. D) do not change the effect of noise on the classification.

B) reduce the effect of noise on the classification.

Support vector machines are a popular machine learning technique primarily because of: A) their relative cost and superior predictive power. B) their superior predictive power and their theoretical foundation. C) their relative cost and relative ease of use. D) their high effectiveness in the very few areas where they can be used.

B) their superior predictive power and their theoretical foundation.

Understanding customers better has helped Amazon and others become more successful. The understanding comes primarily from: A) collecting data about customers and transactions. B) developing a philosophy that is data analytics-centric. C) analyzing the vast data amounts routinely collected. D) asking the customers what they want.

C) analyzing the vast data amounts routinely collected.

This type of algorithm is necessary for making large-scale decisions, but may be difficult due to difficulties in measuring costs, risks, and benefits. A) problem identification B) decision nature identification C) method of least squares D) cost-benefit and risk analyses

D) cost-benefit and risk analyses

What measure is used to characterize the peak/tall/skinny nature of the distribution? A) skewness B) standard deviation C) whisker plot D) kurtosis

D) kurtosis

These contain measurements of simple codes assigned to objects as labels, which are not measurements. A) numeric data B) ordinal data C) interval data D) nominal data

D) nominal data

The random forest (RF) model is a modification to what algorithm? A) complex bagging B) simple bagging C) complex boosting D) simple boosting

B) simple bagging

The data field "ethnic group" can be best described as: A) nominal data. B) interval data. C) ordinal data. D) ratio data.

A) nominal data.

Which deep learning framework supports TPUs? A) Torch B) Caffe C) TensorFlow D) Theano

C) TensorFlow

Reducing a data set's volume can be a portion of which data preprocessing step? A) Data Consolidation B) Data Cleaning C) Data Transformation D) Data Reduction

D) Data Reduction

Who published a weekly supervised training image recognition deep learning project in May 2018? A) IBM B) Google C) Adobe D) Facebook

D) Facebook

Which of the following universities is not actively studying the IQ of AI? A) University of Illinois B) Massachusetts Institute of Technology C) Stanford University D) Portland University

D) Portland University

In the opening vignette, which method was the best in both accuracy of predicted outcomes and sensitivity? A) ANN B) CART C) C5 D) SVM

D) SVM

Backpropagation requires the of vector pairs, with the pairs consisting of: A) an input vector and a control vector. B) binary input vectors. C) a control vector and a target vector. D) an input vector and a target vector.

D) an input vector and a target vector.

"The capabilities of a machine to imitate intelligent human behavior" is the definition of: A) knowledge acquisition. B) deep learning. C) the Turing test. D) artificial intelligence.

D) artificial intelligence.

Which broad area of data mining applications partitions a collection of objects into natural groupings with similar features? A) associations B) visualization C) classification D) clustering

D) clustering

What is the application of knowledge derived from cognitive science (the study of the human brain) and computer science theories in order to simulate the human thought processes so that computers can exhibit and/or support decision-making and problem-solving capabilities? A) natural language processing B) virtual reality C) augmented reality D) cognitive computing

D) cognitive computing

To satisfy this requirement, this data is recorded at or near the time of the event or observation so that the time delay—related misrepresentation is minimized. A) data source reliability B) data accessibility C) data granularity D) data currency

D) data currency

For how long do SVM models continue to be accurate and actionable? A) for as long as the developers stay with the firm B) for as long as management support continues to exist for the project C) for as long as you choose to use them D) for as long as the behavior of the domain stays the same

D) for as long as the behavior of the domain stays the same

Which type of a and a transfer function is described: operation increases in a line based on condition, but only after a minimum is met using an operation such as a=n if n>0, or a=0 if n<0. A) hard limit B) linear C) log sigmoid D) positive linear

D) positive linear

In the Miami-Dade Police Department case study, what types of analytics was used? A) diagnostic analytics B) prescriptive analytics C) descriptive analytics D) predictive analytics

D) predictive analytics

This figure is often used to explore the relationship between two or three variables (in 2D or 3D visuals). A) line chart B) bar chart C) pie chart D) scatter plot

D) scatter plot

All of the following are disadvantages/limitations of the SVM technique EXCEPT: A) model building involves complex and time-demanding calculations. B) selection of the kernel type and kernel function parameters is difficult. C) they have high algorithmic complexity and extensive memory requirements for complex tasks. D) their accuracy is poor in many domains compared to neural networks.

D) their accuracy is poor in many domains compared to neural networks.

Which element in an artificial neural network roughly corresponds to a synapse in a human brain? A) node B) input C) output D) weight

D) weight

Which of the following is not a foundation of AI? A) neurology B) IoT C) intelligent agents D) statistics

C) intelligent agents

Neural networks have been described as "biologically inspired." What does this mean? A) They are faithful to the entire process of computation in the human brain. B) They were created to look identical to human brains. C) They crudely model the biological makeup of the human brain. D) They have the power to undertake every task the human brain can.

C) They crudely model the biological makeup of the human brain.

Identifying and preventing incorrect claim payments and fraudulent activities falls under which type of data mining applications? A) insurance B) retailing and logistics C) customer relationship management D) computer hardware and software

A) insurance

Which of the following is not a measure of central tendency? A) mean B) median C) range D) mode

C) range

Which of the following is not a limitation of AIW? A) lack human touch and feel B) lack attention to non-task surroundings C) AI optimizes knowledge work D) can be programmed to create destruction

C) AI optimizes knowledge work

In the Target case study, why did Target send a teen maternity ads? A) Target's analytic model confused her with an older woman with a similar name. B) Target was sending ads to all women in a particular neighborhood. C) Target's analytic model suggested she was pregnant based on her buying habits. D) Target was using a special promotion that targeted all teens in her geographical area.

C) Target's analytic model suggested she was pregnant based on her buying habits.

The k-nearest neighbor machine learning algorithm (kNN) is: A) highly mathematical and computationally intensive. B) a method that has little in common with regression. C) regarded as a "lazy" learning method. D) very complex in its inner workings.

C) regarded as a "lazy" learning method.

Third party providers of publicly available datasets protect the anonymity of the individuals in the data set primarily by: A) asking data users to use the data ethically. B) leaving in identifiers (e.g., name), but changing other variables. C) removing identifiers such as names and social security numbers. D) letting individuals in the data know their data is being accessed.

C) removing identifiers such as names and social security numbers.

What is the recognition and understanding of spoken languages by a computer? A) contextual analysis B) synthetic language processing C) speech understanding D) accent obfuscation

C) speech understanding

The data mining algorithm type used for classification somewhat resembling the biological neural networks in the human brain is: A) association rule mining. B) cluster analysis. C) decision trees. D) artificial neural networks.

D) artificial neural networks.

Which type of learning system is represented by the following process: input - simple features - more advanced features - mapping from features - output? A) knowledge-based systems B) classic machine learning. C) generic representation learning D) deep learning

D) deep learning

Homogeneous-type ensembles combine the outcomes of: A) two or more of the different type of models. B) only two of the different type of models. C) two or more of the same type of models. D) only two of the same type of models.

C) two or more of the same type of models.

The combination of visualization and predictive analytics is referred to as: A) visualization+. B) predictive analytics+. C) visual analytics. D) advanced histograms.

C) visual analytics.

Which type of learning system is represented by the following process: input - manually created representation - output? A) knowledge-based systems B) classic machine learning C) generic representation learning D) deep learning

A) knowledge-based systems

This assumption in a regression analysis states that the relationship between the response variable and the explanatory variables is linear. A) linearity B) multicollinearity C) independence D) normality

A) linearity

This layer of dashboard information allows for of key performance metrics. A) monitoring B) analysis C) management D) export

A) monitoring

When comparing artificial intelligence versus human intelligence how would form be compared? A) numbers/signals B) numbers/pictograms C) signals/numbers D) signals/pictograms

A) numbers/signals

When using support vector machines, in which stage do you transform the data? A) preprocessing the data B) developing the model C) experimentation D) deploying the model

A) preprocessing the data

The predecessors to data visualization date back to: A) second century AD. B) 1600's. C) 1800's. D) 1990's.

A) second century AD.

Robots can help with online shopping by collecting shopping information, matching buyers and products, and conducting price and capability comparisons. These are known as: A) shopbots. B) EC droids. C) Turing AI toys. D) CRM.

A) shopbots.

When comparing artificial intelligence versus human intelligence how would cost be compared? A) usually low and declining/may be high and increasing B) usually low and declining/may be high but decreasing C) usually high and increasing/may be high but decreasing D) usually high and increasing/ may be high and increasing

A) usually low and declining/may be high and increasing

Which data mining process/methodology is thought to be the most comprehensive, according to kdnuggets.com rankings? A) SEMMA B) proprietary organizational methodologies C) KDD Process D) CRISP-DM

D) CRISP-DM

Which of the following is not listed in Gartner's 2016 and 2017 Hype Cycles for Emerging Technologies? A) natural language questions and answering B) CRM systems C) virtual personal assistants D) IoT platforms

B) CRM systems

Which deep learning framework is particularly known to be an efficient framework for image processing due to incredible speed in processing image files? A) Torch B) Caffe C) TensorFlow D) Theano

B) Caffe

Eliminating duplicate data is typically a part of which data preprocessing step? A) Data Consolidation B) Data Cleaning C) Data Transformation D) Data Reduction

B) Data Cleaning

This figure portrays project timelines, project tasks/activity durations, and overlap among the tasks/activities. A) PERT chart B) Gantt chart C) histogram D) bubble chart

B) Gantt chart

This layer of dashboard information provides summarized dimensional data. A) monitoring B) analysis C) management D) export

B) analysis

Why is sensitivity analysis frequently used for artificial neural networks? A) because it is required by all major artificial neural networks B) because it is generally informative, and can be used to identify a preferred model if multiple models exist C) because it is generally informative, although it cannot help to identify cause-and-effect relationships among variables D) because it provides a complete description of the inner workings of the artificial neural network

B) because it is generally informative, and can be used to identify a preferred model if multiple models exist

Sensitivity analysis is a method for extracting the what among the inputs and the outputs of a trained neural network model? A) underlying constraints B) cause-and-effect relationships C) bias D) detailed quantitative predictive models

B) cause-and-effect relationships

This type of report may include color-coded traffic lights for different performance levels. A) metric management report B) dashboard report C) balanced scorecard report D) none of these

B) dashboard report

When using support vector machines, in which stage do you select the kernel type (e.g., RBF, Sigmoid)? A) preprocessing the data B) developing the model C) experimentation D) deploying the model

B) developing the model

Which type of a and a transfer function is described: operation increases in a line based on condition using an operation such as a=n. A) hard limit B) linear C) log sigmoid D) positive linear

B) linear

Which of the following is not a technology or application of AI? A) speech understanding B) linguistics C) machine learning D) smart homes

B) linguistics

This assumption in a regression analysis states that the explanatory variables are not correlated. A) linearity B) multicollinearity C) independence D) normality

B) multicollinearity

Which of the following are advantages of the Naïve Bayes method or classification? A) developed very efficiently B) developed effectively and accurately in a supervised machine learning environment C) absent any underlying assumptions that may affect output D) ability to quickly create models and outputs

C) absent any underlying assumptions that may affect output

What refers to the integration of digital information with the user environment in real time? A) natural language processing B) virtual reality C) augmented reality D) deep learning

C) augmented reality

This type of report presents an integrated view of success in an organization. A) metric management report B) dashboard report C) balanced scorecard report D) none of these

C) balanced scorecard report

What is the main reason parallel processing is sometimes used for data mining? A) because the hardware exists in most organizations and it is available to use B) because the most of the algorithms used for data mining require it C) because of the massive data amounts and search efforts involved D) because any strategic application requires parallel processing

C) because of the massive data amounts and search efforts involved

Bagging can be used for: A) classification-type prediction problems. B) regression/estimation-type prediction problems. C) both A and B D) none of these

C) both A and B

Some of the benefits of the BN model include: A) ease of adaptability. B) extent of applicability. C) both A and B. D) none of these.

C) both A and B.

In which area below does AI not have an advantage over human? A) computational speed B) consistency C) emotional understanding D) durability

C) emotional understanding

Which of the following is not a prediction of the effect of AI on accountants? A) AI and analytics will automate many routine tasks done today by accountants B) many accountants may lose their job C) accountants will need to manage AI-based accounting systems D) AI will drive changes in the tax code

D) AI will drive changes in the tax code

What is a Salesforce product that is an AI set of technologies that is used for enhancing customer interactions and supporting sales? A) Mendel B) Hawkings C) Turing D) Einstein

D) Einstein

Real applications of deep learning in general and CNN's in particular highly depend on the availability of: A) large, unsorted data sets. B) small, unsorted data sets. C) large, annotated data sets. D) small, annotated data sets.

C) large, annotated data sets.

What does the robustness of a data mining method refer to? A) its ability to predict the outcome of a previously unknown data set accurately B) its speed of computation and computational costs in using the mode C) its ability to construct a prediction model efficiently given a large amount of data D) its ability to overcome noisy data to make somewhat accurate predictions

D) its ability to overcome noisy data to make somewhat accurate predictions

Backpropagation learning algorithms for neural networks are: A) the least popular algorithm due to their inaccuracy. B) used without hidden layers for effectiveness. C) used without a training set of data. D) required to have error tolerance set in advance.

D) required to have error tolerance set in advance.

What made the digital distribution of both data and visualization more accessible to a broader audience? A) the printing press B) the pony express C) personal computers D) the Internet

D) the Internet

In data mining, finding an affinity of two products to be commonly together in a shopping cart is known as: A) association rule mining. B) cluster analysis. C) decision trees. D) artificial neural networks.

A) association rule mining.

All of the following statements about data mining are true EXCEPT: A) the process aspect means that data mining should be a one-step process to results. B) the novel aspect means that previously unknown patterns are discovered. C) the potentially useful aspect means that results should lead to some business benefit. D) the valid aspect means that the discovered patterns should hold true on new data.

A) the process aspect means that data mining should be a one-step process to results.

In estimating the accuracy of data mining (or other) classification models, the true positive rate is: A) the ratio of correctly classified positives divided by the total positive count. B) the ratio of correctly classified negatives divided by the total negative count. C) the ratio of correctly classified positives divided by the sum of correctly classified positives and incorrectly classified positives. D) the ratio of correctly classified positives divided by the sum of correctly classified positives and incorrectly classified negatives.

A) the ratio of correctly classified positives divided by the total positive count.

Which of the following strives to have computers produce ordinary spoken language so that people can understand the computers more easily? A) natural language processing B) natural language generation C) natural language understanding D) intelligent agents

B) natural language generation

Prediction problems where the variables have numeric values are most accurately defined as: A) classifications. B) regressions. C) associations. D) computations.

B) regressions.

All of the following statements about data mining are true EXCEPT: A) understanding the business goal is critical. B) understanding the data, e.g., the relevant variables, is critical to success. C) building the model takes the most time and effort. D) data is typically preprocessed and/or cleaned before use.

C) building the model takes the most time and effort.

To satisfy this requirement, this data has variables that are defined at the lowest (or as low as required) level of detail for the intended use. A) data source reliability B) data accessibility C) data granularity D) data currency

C) data granularity

LSTM networks are typically not used for what type of data? A) handwriting recognition B) speech recognition C) image recognition D) machine translation

C) image recognition

What does the scalability of a data mining method refer to? A) its ability to predict the outcome of a previously unknown data set accurately B) its speed of computation and computational costs in using the mode C) its ability to construct a prediction model efficiently given a large amount of data D) its ability to overcome noisy data to make somewhat accurate predictions

C) its ability to construct a prediction model efficiently given a large amount of data

For many intelligent systems to work, it is necessary for them to have knowledge. The process of acquiring this knowledge is referred to as: A) natural intelligence processing. B) deep learning. C) knowledge acquisition. D) knowledge representation.

C) knowledge acquisition.

In developing an artificial neural network, all of the following are important reasons to pre-select the network architecture and learning method EXCEPT: A) some configurations have better success than others with specific problems. B) development personnel may be more experienced with certain architectures. C) most neural networks need special purpose hardware, which may be absent. D) some neural network software may not be available in the organization.

C) most neural networks need special purpose hardware, which may be absent.

Which of the following does not describe a deep feedforward network? A) most general type of deep network B) many layers of neurons C) network elements are significantly different than ANN models D) tensors are handled as input

C) network elements are significantly different than ANN models

Which type of neural network is characterized by allowing feedback connections? A) deep feedforward network B) feedforward network C) recurrent neural network D) none of these

C) recurrent neural network

What is a major drawback to the basic majority voting classification in kNN? A) It requires frequent human subjective input during computation. B) Classes that are more clustered tend to dominate prediction. C) Even the naive version of the algorithm is hard to implement. D) Classes with more frequent examples tend to dominate prediction.

D) Classes with more frequent examples tend to dominate prediction.

Which index has been used in economics to measure the diversity of a population? A) Atkinson B) Lorenz C) Stockholm D) Gini

D) Gini

What factors are not allowing banks to use more advanced AI based fraud detection systems? A) evolving new learning systems enabled by AI B) hardware and processors becoming more powerful C) specialized algorithms becoming available D) easy access to development capital

D) easy access to development capital