Quizzes
What are the five steps in the backpropagation learning algorithm? (Q5Ch6)
1. Initialize weights with random values and set other parameters 2. Read in the input vector and the desired output. 3. Compute the actual output via the calculations, working forward through the layers. 4. Compute the error 5. Change the weights by working backward from the output layer through the hidden layers.
It is estimated that by 2019, there will be close to how many significant robots? (Q9Ch10)
2.6 million
The company that led the implementation of robo advisors was: (Q11Ch12)
Betterment
Which data mining process/methodology is thought to be the most comprehensive, according to kdnuggets.com rankings? (Q3Ch4)
CRISP-DM
Which deep learning framework is particularly known to be an efficient framework for image processing due to incredible speed in processing image files? (Q5Ch6)
Caffe
What are the key attributes of cognitive computing systems? (Q5Ch6)
Cognitive computing systems must have the following key attributes as defined by the Cognitive Computing Consortium (2018): • Adaptive: Cognitive systems must be flexible enough to learn as information changes and goals evolve. The systems must be able to digest dynamic data in real time and make adjustments as the data and environment change. • Interactive: Human-computer interaction (HCI) is a critical component in cognitive systems. Users must be able to interact with cognitive machines and define their needs as those needs change. The technologies must also be able to interact with other processors, devices, and cloud platforms. • Iterative and stateful: Cognitive computing technologies can also identify problems by asking questions or pulling in additional data if a stated problem is vague or incomplete. The systems do this by maintaining information about similar situations that have previously occurred. • Contextual: Understanding context is critical in thought processes, so cognitive systems must understand, identify, and mine contextual data, such as syntax, time, location, domain, requirements, and a specific user's profile, tasks, or goals. Cognitive systems may draw on multiple sources of information, including structured and unstructured data and visual, auditory, or sensor data.
Eliminating duplicate data is typically a part of which data preprocessing step? (Q2Ch2,3)
Data Cleaning
Reducing a data set's volume can be a portion of which data preprocessing step? (Q2Ch2,3)
Data Reduction
Which of the following is a data mining myth? (Q3Ch4)
Data mining requires a separate, dedicated database.
A Group Support System is characterized by all of the following EXCEPT: (Q10Ch11)
Describes software systems only.
What is the hardware companion of Amazon's Alexa software product? (Q11Ch12)
Echo
An advantage of simulation is that it allows model builders to solve problems with minimal interaction with users or managers. (Q7Ch8)
False
Another name for result variables is independent variables. (Q7Ch8)
False
As robo advisors matured, it became clear that sometimes they could do an effective job by themselves. (Q11Ch12)
False
As the use of AI grows, the demand for coders in this area will paradoxically shrink. (Q9Ch10)
False
CNNs are only applicable to image data sets. (Q5Ch6)
False
Compared to the human brain, artificial neural networks have many more neurons. (Q4Ch5)
False
Data mining can be very useful in detecting patterns such as credit card fraud, but is of little help in improving sales. (Q3Ch4)
False
Data mining requires specialized data analysts to ask ad hoc questions and obtain answers quickly from the system. (Q3Ch4)
False
Deep neural networks are referred to as "deep" because they are primarily used to evaluate significant philosophical issues. (Q5Ch6)
False
Detecting lies from text transcripts of conversations is a future goal of text mining as current systems achieve only 50% accuracy of detection. (Q6Ch7)
False
During information extraction, entity recognition (the recognition of names of people and organizations) takes place after relationship extraction. (Q6Ch7)
False
Ensemble models can be quickly characterized based on their use of a bagging or boosting method type. (Q4Ch5)
False
If a human is directly remote controlling a machine, it is no longer considered a robot. (Q9Ch10)
False
In sentiment analysis, sentiment suggests a transient, temporary opinion reflective of one's feelings. (Q6Ch7)
False
In the Sephora case, the company found that the use of chat bots was off-putting to potential customers. (Q11Ch12)
False
Intelligent technologies are limited to small-scale projects when they include AI combined with IoT (Q1Ch1)
False
Internet- and intranet-based group decision support systems (GDSS) are less popular than special-purpose decision rooms. (Q10Ch11)
False
It is generally best to rely on a trial-and-error approach to management.(In class Q1)
False
Less than 50% of human communication is nonverbal. (Q9Ch10)
False
Most of the existing AI applications, which are between assisted and autonomous, are referred to as directed intelligence. (Q2Ch2,3)
False
Natural language processing (NLP) is an important component of text mining and is a subfield of computational linguistics but not artificial intelligence. (Q6Ch7)
False
People believing that an autonomous car cannot keep them safe is an example of a regulatory challenge. (Q9Ch10)
False
Social collaboration is usually done on email. (Q10Ch11)
False
Statistics and data mining both look for data sets that are as large as possible. (Q3Ch4)
False
Structured problems are encountered in only unique situations. (In class Q1)
False
Structured problems are encountered in only unique situations. (Q1Ch1)
False
Text analytics is the subset of text mining that handles information retrieval and extraction, plus data mining. (Q6Ch7)
False
The Garner Test is a well-known attempt to measure the intelligence level of AI machines. (Q2Ch2,3)
False
The Spyce robot automates the cooking of food, but orders are still taken by humans. (Q9Ch10)
False
The entire focus of the predictive analytics system in the Visa case was on detecting and handling fraudulent charges for the company's benefit. (Q3Ch4)
False
The k-nearest neighbor algorithm is overly complex when compared to artificial neural networks and support vector machines. (Q4Ch5)
False
The term swarm intelligence refers to the collective behavior of centralized, intentionally organized systems. (Q10Ch11)
False
The use of chat bots requires companies to utilize a large team of customer service professionals. (Q11Ch12)
False
The use of simulation models is desirable because they can usually be solved in one pass, without incurring the time and cost of iterations. (Q7Ch8)
False
To assist in predictions, natural language processing (NLP) can be used to sort ideas and organize them for improved evaluation. (Q10Ch11)
False
Unstructured problems can be fully supported by standard computerized quantitative methods. (In class Q1)
False
Unstructured problems can be fully supported by standard computerized quantitative methods. (Q1Ch1)
False
Using support vector machines, you must normalize the data before you numericize it. (Q4Ch5)
False
Web-based e-mail such as Google's Gmail are not examples of cloud computing. (Q8Ch9)
False
When information is sent and received almost simultaneously, the communication is in asynchronous (real-time) mode. (Q10Ch11)
False
When people are creating various types of content and sharing it with others (for pay or free), this is an example of crowd voting. (Q10Ch11)
False
While cloud services are useful for small and midsize analytic applications, they are still limited in their ability to handle Big Data applications (Q8Ch9)
False
With the PageRank algorithm, a Web page with more incoming links will always rank higher than one with fewer incoming links. (Q6Ch7)
False
What is the major difference between group support systems (GSS) and group decision support systems (GDSS)? (Q10Ch11)
GDSS have a narrower focus than GSS.
This figure portrays project timelines, project tasks/activity durations, and overlap among the tasks/activities. (Q2Ch2,3)
Gantt chart
All of the following have contributed to the growth of decision support systems EXCEPT: (In class Q1)
Increasing costs of computer hardware.
In handling uncertainty in decision modeling, what does the pessimistic approach do? (Q7Ch8)
It assumes the worst possible outcome of each alternative will occur and then selects the best of them.
How does Hadoop work? (Q8Ch9)
It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers.
Which of the following is an advantage of simulation? (Q7Ch8)
It can incorporate significant real-life complexity.
PageRank for Webpages is useful to Web developers for which of the following reasons? (Q6Ch7)
It gives developers insight into Web user behavior.
How is objectivity handled in sentiment analysis? (Q6Ch7)
It is identified and removed as facts are not sentiment.
Describe the four step process of management decision-making. (Q1Ch1)
Managers usually make decisions by following a four-step process: 1. Define the problem (i.e., a decision situation that may deal with some difficulty or with an opportunity). 2. Construct a model that describes the real-world problem. 3. Identify possible solutions to the modeled problem and evaluate the solutions. 4. Compare, choose, and recommend a potential solution to the problem.
Which of the following sources is likely to produce Big Data the fastest? (Q8Ch9)
RFID tags
In the Target case study, why did Target send a teen maternity ads? (Q3Ch4)
Target's analytic model suggested she was pregnant based on her buying habits.
Which of the following robots is a social bot intended to provide extended support to preschoolers by engaging them in storytelling? (Q9Ch10)
Tega
Which deep learning framework supports TPUs? (Q5Ch6)
TensorFlow
Which of the following is true of data-as-a-Service (DaaS) platforms? (Q8Ch9)
There are standardized processes for accessing data wherever it is located.
What do voice of the market (VOM) applications of sentiment analysis do? (Q6Ch7)
They examine customer sentiment at the aggregate level.
A new job category has emerged to study the interactions between a robot and its coworkers and customers and to retrain the robot or take this information into account in designing the next generation. (Q9Ch10)
True
AI machines have demonstrated superiority over humans in playing complex games such as chess. (Q2Ch2,3)
True
Analytics is the process of developing actionable decisions or recommendations for actions based on insights generated from historical data. (In class Q1)
True
Because of their complexity, it is more difficult to understand the inner structure of model ensembles (how they do what they do) than individual models. (Q4Ch5)
True
Big Data technologies typically employ nonrelational data storage capabilities to process unstructured and semistructured data. (Q8Ch9)
True
Chatbots allow rapid growth of service operations without the need to hire and train many customer service employees. (Q11Ch12)
True
Chatbots and similar AI machines have been improved over time. (Q11Ch12)
True
Cloud computing originates from a reference to the Internet as a "cloud" and is a combination of several information technology components as services. (Q8Ch9)
True
Convolution layers are often followed by a pooling layer. (Q5Ch6)
True
Current use of sentiment analysis in voice of the customer applications allows companies to change their products or services in real time in response to customer sentiment. (Q6Ch7)
True
Data-as-a-service began with the notion that data quality could happen in a centralized place, cleansing and enriching data and offering it to different systems, applications, or users, irrespective of where they were in the organization, computers, or on the network. (Q8Ch9)
True
Decision making is one of the most important activities in organizations of all kind- probably the most important one. (Q1Ch1)
True
Decision support systems couple the intellectual resources of individuals with the capabilities of the computer to improve the quality of decisions. It is a computer-based support system for management decision makers who deal with semistructured problems. (In class Q1)
True
Decision trees are most appropriate for categorical data and interval data. (Q3Ch4)
True
For low latency, interactive reports, a data warehouse is preferable to Hadoop. (Q8Ch9)
True
Hadoop was designed to handle petabytes and extabytes of data distributed over multiple nodes in parallel. (Q8Ch9)
True
If linear programming can be successfully applied a problem, the output is usually optimal. (Q7Ch8)
True
If using a mining analogy, "knowledge mining" would be a more appropriate term than "data mining." (Q3Ch4)
True
In sentiment analysis, it is hard to classify some subjects such as news as good or bad, but easier to classify others, e.g., movie reviews, in the same way. (Q6Ch7)
True
In supervised learning techniques, such as backpropagation, the training data consist of vector pairs—an input vector and a target vector. (Q4Ch5)
True
In text mining, inputs to the process include unstructured data such as Word documents, PDF files, text excerpts, e-mail and XML files. (Q6Ch7)
True
In the Miami-Dade Police Department case, the department chose to start small and grow big in order to demonstrate success with data mining. (Q3Ch4)
True
In the opening case, one of the robots used had the appearance of a child's teddy bear. (Q9Ch10)
True
In the terrorist funding case study, predictive analytics helped to identify abnormal transfer prices on exports. (Q3Ch4)
True
Intelligent agents are effective tools for overcoming the most critical burden of the Internet information overload and making computers more viable decision support tools. (Q2Ch2,3)
True
Linear programming seeks to optimally allocate resources among competing activities and is likely the best-known optimization model. (Q7Ch8)
True
Many analytics tools are too complex for the average user, and this is one justification for Big Data. (Q8Ch9)
True
MapReduce can be easily understood by skilled programmers due to its procedural nature. (Q8Ch9)
True
Neural networks represent a brain metaphor for information processing. These models are biologically inspired rather than an exact replica of how the brain actually functions. (Q4Ch5)
True
Recommendation systems are very common and are used in many areas. (Q11Ch12)
True
Sensitivity analysis seeks to assess the impact of changes in the input data and parameters on the proposed solution. (Q7Ch8)
True
Taking a decision under risk is different from taking the decision under uncertainty. (Q7Ch8)
True
The ability to converse in different languages is a benefit to the use of chat bots. (Q11Ch12)
True
The bag-of-words model is appropriate for spam detection but not for text analytics. (Q6Ch7)
True
The goal of collaborative workflow tools is to empower knowledge workers. (Q10Ch11)
True
The heart of an autonomous vehicle system is a laser rangefinder. (Q9Ch10)
True
The members of a group can be in one place, meeting face-to-face, or they can be a virtual team. (Q10Ch11)
True
The overarching goal for both text analytics and text mining is to turn unstructured textual data into actionable information through the application of natural language processing (NLP) and analytics. (Q6Ch7)
True
The use of chatbots in HRM is increasing rapidly. Their ability to provide current information to employees anytime is a major reason. (Q2Ch2,3)
True
The use of hidden layers and new topologies and algorithms renewed waning interest in neural networks. (Q4Ch5)
True
Time compression in a simulation allows managers some feel as to the long-term effects of many policies. (Q7Ch8)
True
To assist in meeting preparation, AI is used to find a convenient time for meetings to take place. AI can assist in scheduling meetings so that all can participate. (Q10Ch11)
True
Unlike other "black box" predictive models, support vector machines have a solid mathematical foundation in statistical learning theory. (Q4Ch5)
True
VPAs are basically extensions of intelligent software agents that interact with people. (Q11Ch12)
True
What if and goal seeking are the two most common methods of sensitivity analysis. (Q7Ch8)
True
When a problem has many attributes that impact the classification of different patterns, decision trees may be a useful approach. (Q3Ch4)
True
What software or facility is best for a small firm spread out across the Northeast U.S. looking to inexpensively conduct regular videoconferencing? (Q10Ch11)
WebEx
In text analysis, what is a lexicon? (Q6Ch7)
a catalog of words, their synonyms, and their meanings
Which of the following are advantages of the Naïve Bayes method or classification? (Q4Ch5)
absent any underlying assumptions that may affect output
Swarm AI (or AI swarm) provides what one needed component for the interconnections among people creating the human swarm? (Q10Ch11)
algorithms
Using data to understand customers/clients and business operations to sustain and foster growth and profitability is: (Q8Ch9)
an increasingly challenging task for today's enterprises.
This layer of dashboard information provides summarized dimensional data. (Q2Ch2,3)
analysis
What does Web structure mining involve? (Q6Ch7)
analyzing the universal resource locators in Web pages
What does Web content mining involve? (Q6Ch7)
analyzing the unstructured content of Web pages
The data mining algorithm type used for classification somewhat resembling the biological neural networks in the human brain is: (Q3Ch4)
artificial neural networks.
Which of the following is an example of autonomy? (Q9Ch10)
assessing a patient in making a diagnosis
In data mining, finding an affinity of two products to be commonly together in a shopping cart is known as: (Q3Ch4)
association rule mining.
Why is sensitivity analysis frequently used for artificial neural networks? (Q4Ch5)
because it is generally informative, and can be used to identify a preferred model if multiple models exist
What is the main reason parallel processing is sometimes used for data mining? (Q3Ch4)
because of the massive data amounts and search efforts involved
In text mining, tokenizing is the process of: (Q6Ch7)
categorizing a block of text in a sentence.
Sensitivity analysis is a method for extracting the what among the inputs and the outputs of a trained neural network model? (Q5Ch6)
cause-and-effect relationships
Which of the following types of bots simulate conversations with people? (Q11Ch12)
chatbots
Sensitivity analysis comes in what stage of the decision-making process? (Q1Ch1)
choice
Sensitivity analysis comes in what stage of the decision-making process? (In class Q1)
choice
Models can be built with the help of human knowledge and expertise. Another source of help in building these models is: (Q7Ch8)
classification and clustering methods.
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? (Q2Ch2,3)
cognitive computing
This method builds a model that summarizes the past behavior of shoppers, how they surf the Internet, what they were looking for, what they have purchased, and how much they like (rate) the products. (Q11Ch12)
collaborative filtering
Which of the following is not one of the ways to categorize CI into a major area of application? (Q10Ch11)
communication
As it relates to robots and AI, what type of issue is concern over automated enforcement of laws? (Q9Ch10)
constitutional law
In which stage of the simulation methodology do you determine the variables and gather data? (Q7Ch8)
constructing the simulation model
GPS Navigation is an example of which kind of location-based analytics? (Q8Ch9)
consumer-oriented geospatial static approach
This technique allows vendors to identify preferences by the attributes of the product(s) that customers have bought or intend to buy. (Q11Ch12)
content-based filtering
This type of report may include color-coded traffic lights for different performance levels. (Q2Ch2,3)
dashboard report
To satisfy this requirement, data is recorded at or near the time of the event or observation so that the time delay—related misrepresentation is minimized. (Q2Ch2,3)
data currency
An alternative representation of the decision table is a: (Q7Ch8)
decision tree.
Which type of learning system is represented by the following process: input - simple features - more advanced features - mapping from features - output? (Q5Ch6)
deep learning
What type of analytics answers questions like "what happened?"(Q1Ch1)
descriptive
Setting the criteria for a choice comes in what stage of the decision-making process? (Q1Ch1)
design
Predictive analytics aims to: (Q1Ch1)
determine what is likely to happen in the future
When using support vector machines, in which stage do you select the kernel type (e.g., RBF, Sigmoid)? (Q4Ch5)
developing the model
Which of the following is not a best practice in dashboard design? (Q2Ch2,3)
disregard guided analytics in lieu of a detailed manual
Which component of a robot describe the devices that affect the environment, such as hands, legs, arms, bodies, and fingers? (Q9Ch10)
effectors
Which type of tool would not be appropriate for same time/same place interaction? (Q10Ch11)
In which area below does AI not have an advantage over human? (Q2Ch2,3)
emotional understanding
In relation to autonomous cars, concerns about performance in bad weather is an example of which type of challenge? (Q9Ch10)
environmental
In the opening vignette, predictive modeling is described as: (Q4Ch5)
estimating the future using the past.
What is the extensive, task-specific knowledge that experts possess? (Q11Ch12)
expertise
In the classic decision support framework, types of control are broken apart into all except one of the following categories. (In class Q1)
financial control
In the classic decision support framework, types of control are broken apart into all except one of the following categories. (Q1Ch1)
financial control
For how long do SVM models continue to be accurate and actionable? (Q4Ch5)
for as long as the behavior of the domain stays the same
GPU hardware is often used for deep neural networks. What does GPU stand for? (Q5Ch6)
graphics processing unit
LSTM networks are typically not used for what type of data? (Q5Ch6)
image recognition
Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near-real time with highly accurate insights. What is this process called? (Q8Ch9)
in-memory analytics
What part of an expert system provides the reasoning capability, namely the ability to answer users' questions, provide recommendations for solutions, generate predictions, and conduct other relevant tasks? (Q11Ch12)
inference engine
Identifying and preventing incorrect claim payments and fraudulent activities falls under which type of data mining applications? (Q3Ch4)
insurance
Organization objectives comes in what stage of the decision-making process? (Q1Ch1)
intelligence
Which of the following is a function that cannot be completed by Amazon's Alexa? (Q11Ch12)
interface with self-driving cars
Which of the following is NOT a component of a linear programming problem? (Q7Ch8)
internal metrics
Sensitivity analysis is important in management support systems for all of the following reasons EXCEPT: (Q7Ch8)
it improves the mathematical optimality of the generated solutions.
What does the scalability of a data mining method refer to? (Q3Ch4)
its ability to construct a prediction model efficiently given a large amount of data
What does the robustness of a data mining method refer to? (Q3Ch4)
its ability to overcome noisy data to make somewhat accurate predictions
A less common subsystem of an expert system that shows users of rule-based systems the chains of rules used to arrive at conclusions is called: (Q11Ch12)
justifier/explanation.
Real applications of deep learning in general and CNN's in particular highly depend on the availability of: (Q5Ch6)
large, annotated data sets.
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. (Q5Ch6)
linear
This assumption in a regression analysis states that the relationship between the response variable and the explanatory variables is linear. (Q2Ch2,3)
linearity
Linear programming belongs to a family of tools called: (Q7Ch8)
mathematical programming methods.
Search engines do not search the entire Web every time a user makes a search request, for all the following reasons EXCEPT: (Q6Ch7)
most users are not interested in searching the entire Web.
These contain measurements of simple codes assigned to objects as labels, which are not measurements. (Q2Ch2,3)
nominal data
The data field "ethnic group" can be best described as: (Q3Ch4)
nominal data.
When comparing artificial intelligence versus human intelligence how would form be compared? (Q2Ch2,3)
numbers/signals
These contain codes assigned to objects or events as labels that also represent the rank order among them. (Q2Ch2,3)
ordinal data
What kind of location-based analytics is real-time marketing promotion? (Q8Ch9)
organization-oriented location-based dynamic approach
What concept do CNN's use to avoid large numbers of weight parameters being defined and trained? (Q5Ch6)
parameter sharing
In the health sciences, the largest potential source of Big Data comes from: (Q8Ch9)
patient monitoring.
What type of analytics answers questions like "what will happen?"(Q1Ch1)
predictive
When using support vector machines, in which stage do you transform the data? (Q4Ch5)
preprocessing the data
What type of analytics answers questions like "what should I do?" (In class Q1)
prescriptive
What type of analytics answers questions like "what should I do?"(Q1Ch1)
prescriptive
What problem-solving step is based on the understanding that solving the simpler subproblems may help in solving a complex problem? (Q1Ch1)
problem decomposition
Decision trees are best suited to solve what types of problems? (Q7Ch8)
problems with a single goal
Which type of neural network is characterized by allowing feedback connections? (Q5Ch6)
recurrent neural network
In text mining, stemming is the process of: (Q6Ch7)
reducing multiple words to their base or root.
The k-nearest neighbor machine learning algorithm ( kNN) is: (Q4Ch5)
regarded as a "lazy" learning method.
Prediction problems where the variables have numeric values are most accurately defined as: (Q3Ch4)
regressions
Which of the following types of bots do simple repetitive tasks for their owners? (Q11Ch12)
regular bots
In relation to autonomous cars, concerns about liability are examples of which type of challenge? (Q9Ch10)
regulatory
Backpropagation learning algorithms for neural networks are: (Q5Ch6)
required to have error tolerance set in advance.
Draw a model of the decision making/modeling process. (Q1Ch1)
resemble figure 1.1.
Which of the following is not a benefit of working in a group? (Q10Ch11)
risk propensity is balanced
Videoconferencing is an example of what kind of groupware? (Q10Ch11)
same time, different place
Which of the following is not a step in the group decision-making process? (Q10Ch11)
seek outside input
Which component of a robot help them to make decisions according to their environment? (Q9Ch10)
sensors
The analytics layer of the Big Data stack is experiencing what type of development currently? (Q8Ch9)
significant development
The random forest (RF) model is a modification to what algorithm? (Q4Ch5)
simple bagging
Because real decision-making situations involve some randomness and deal with semistructured or unstructured situations it can be said that "reality is complex." What type of decision support method is often successfully employed under these conditions? (Q7Ch8)
simulation
Which of the following is not a top application for recommendation systems? (Q11Ch12)
software
What is the recognition and understanding of spoken languages by a computer? (Q2Ch2,3)
speech understanding
A hospital robot that delivers medication and tracks if the medication has been taken is an example of what type of robot category? (Q9Ch10)
stand-alone robot
An iRobot Roomba is an example of what type of robot category? (Q9Ch10)
stand-alone robot
A robot prosthetic arm is an example of what type of robot category? (Q9Ch10)
supplementary robot
In handling uncertainty in decision modeling, the optimistic approach assumes: (Q7Ch8)
the best possible outcome of each alternative will occur.
Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce. One reason for this is: (In class Q1)
the processing power needed for the centralized model would overload a single computer
Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce. One reason for this is: (Q1Ch1)
the processing power needed for the centralized model would overload a single computer.
Traditional data warehouses have not been able to keep up with: (Q8Ch9)
the variety and complexity of data.
Support vector machines are a popular machine learning technique primarily because of: (Q4Ch5)
their superior predictive power and their theoretical foundation.
Which of the following is an area in which the number of available jobs in the future is projected to shrink due to robotics? (Q9Ch10)
truck driving
Which of the following is not a synchronous groupware software application? (Q10Ch11)
tweets
Homogeneous-type ensembles combine the outcomes of: (Q4Ch5)
two or more of the same type of models.
What is the Hadoop Distributed File System (HDFS) designed to handle? (Q8Ch9)
unstructured and semistructured non-relational data
When comparing artificial intelligence versus human intelligence how would cost be compared? (Q2Ch2,3)
usually low and declining/may be high and increasing
This software agent helps people improve their work, assist in decision making, and facilitate their lifestyle. (Q11Ch12)
virtual personal assistant
Which type of tool would not be appropriate for different time/same place interaction? (Q10Ch11)
voice memo
Which element in an artificial neural network roughly corresponds to a synapse in a human brain? (Q4Ch5)
weight
List and describe three levels or categories of analytics that are most often viewed as sequential and independent, but also occasionally seen as overlapping. (Q1Ch1)
• Descriptive or reporting analytics refers to knowing what is happening in the organization and understanding some underlying trends and causes of such occurrences. • Predictive analytics aims to determine what is likely to happen in the future. This analysis is based on statistical techniques as well as other more recently developed techniques that fall under the general category of data mining .• Prescriptive analytics recognizes what is going on as well as the likely forecast and make decisions to achieve the best performance possible.
How does cognitive computing differ from artificial intelligence? (Q5Ch6)
• Technologies - both technologies utilize machine learning, and LP, neural networks and deep learning: but cognitive computing adds text mining and sentiment analysis • Capabilities offered - while AI seeks to find hidden patterns in data sources, cognitive computing attempts to simulate the human thought process to find solutions • Purpose - AI seeks to automate complex processes whereas cognitive computing seeks to augment human capability • Industries - both have application in most industries, but the focus of cognitive computing is currently in customer service, marketing, healthcare, entertainment and services
