Questions and Answers of Analytics Data Science And Artificial Intelligence

Describe the summation and activation functions in MLP-type ANN architecture.
How do Google’s Neural Machine Translation and Microsoft Skype Translator work?
List and briefly describe three different types of LSTM applications.
What is ImageNet and how does it relate to deep learning?
What are the typical use cases for cognitive analytics?
Explain what the terms cognitive analytics and cognitive search mean.
Which strategy is better: more hidden layers versus more neurons?
The use of supercomputers in finance creates opportunities for investors, but there may be unforeseen dangers as well. Discuss.
What is the significance of AlexNet? Draw and describe its architecture.
What is MLP, and how does it work? Explain the function of summation and activation weights in MLP-type ANN.
What is GoogLeNet? How does it work?
Go to Teradata.com. Search and find application case studies and white papers on deep learning and/or cognitive computing. Write a report to summarize your findings, and comment on the capabilities
List and briefly describe the nine-step process in conducting a neural network project.
What is IBM Watson and what is its significance to the world of computing?
Analyzing product and customer behavior provides valuable insights into what consumers want, how they interact with products, and where they encounter usability issues. These insights can lead to new
Draw and briefly explain the three-step process of learning in ANN.
Provide at least three examples of deep learning implementation in manufacturing.
How does CNN process text? What are word embeddings, and how do they work?
How does Watson work?
In 2011, to test its cognitive abilities, Watson competed on the quiz show Jeopardy! in the first-ever human-versus-machine matchup for the show. In a two-game, combined-point match (broadcast in
How does the backpropagation learning algorithm work?
Go to IBM.com. Search and find application case studies and white papers on deep learning and/or cognitive computing. Write a report to summarize your findings, and comment on the capabilities and
What is word2vec, and what does it add to traditional text mining?
List and briefly explain five use cases for IBM Watson.
What is overfitting in ANN learning? How does it happen, and how can it be prevented?
Go to TIBCO.com or some other advanced analytics company Web site. Search and find application case studies and white papers on deep learning and/or cognitive computing. Write a report to summarize
What is the so-called black-box syndrome? Why is it important to be able to explain an ANN’s model structure?
How does sensitivity analysis work in ANN? Search the Internet to find other methods to explain ANN methods.
What is meant by “deep” in deep neural networks? Compare deep neural network to shallow neural network.
What is GPU? How does it relate to deep neural networks?
How does a feedforward multilayer perceptron–type deep network work?
Comment on the impact of random weights in developing deep MLP.
For what type of applications can CNN be used?
What is ImageNet, and how does it relate to deep learning?
What is the convolution function in CNN, and how does it work?
What is pooling in CNN? How does it work?
What is the significance of AlexNet? Draw and describe its architecture.
What is GoogLeNet? How does it work?
How does CNN process text? What is word embeddings, and how does it work?
What is word2vec, and what does it add to the traditional text mining?
What is RNN? How does it differ from CNN?
What is the significance of context, sequence, and memory in RNN?
Draw and explain the functioning of a typical recurrent neural network unit.
What is LSTM network, and how does it differ from RNNs?
List and briefly describe three different types of LSTM applications.
How do Google’s Neural Machine Translation and Microsoft Skype Translator work?
Despite its short tenure, why do you think deep learning implementation has several different computing frameworks?
What are the typical use cases for cognitive analytics?
How does cognitive computing differ from ordinary AI techniques?
List and briefly define the key attributes of cognitive computing.
Draw a diagram and explain the conceptual framework of cognitive computing. Make sure to include inputs, enablers, and expected outcomes in your framework.
What is cognitive computing and how does it differ from other computing paradigms?
What is Keras, and how does it differ from other frameworks?
List and briefly define the characteristics of different deep learning frameworks.
Define and comment on the relationship between CPU, NVIDIA, CUDA, and deep learning.
What is cognitive analytics? What is cognitive search?
What is IBM Watson, and what is its significance to the world of computing?
How does IBM Watson work?
List and briefly explain five use cases for IBM Watson.
In today's hyper-connected world, businesses are under enormous pressure to build relationships with fully engaged consumers who keep coming back for more.In theory, fostering more intimate consumer
Over the past 10 years, the cable television sector in the United States has enjoyed a period of growth that has enabled unprecedented creativity in the creation of high-quality content. AMC Networks
Visit SAS (sas.com) and download the white paper “Discovering What You Want: Using Custom Entities in Text Mining.” Discuss its main conclusions and the possible future applications of text
What is a social network? What is the need for SNA?
What is SVD? How is it used in text mining?
Known to millions of fans simply as "Wimbledon," The Championships are the oldest of tennis's four Grand Slams, and one of the world's highest-profile sporting events. Organized by the All England
Visit the Provalis Research Web site and review the use of the software QDA Miner (https://provalisresearch.com/products/qualitative-data-analysis-software/) for qualitative data analysis. What are
From ticket sales to starting lineups, the Orlando Magic have come a long way since their inaugural season in 1989. There weren't many wins in those early years, but the franchise has weathered the
Goto https://www.lexalytics.com/lexablog/5-industriestaking- advantage-text-analytics-2 and discuss at least two industries that make use of text analytics for their business.
The General Data Protection Regulation, the European Union’s rules on data protection and privacy, has changed the way data mining is carried out in Europe. Discuss.
Founded in 1894, Barbour is an English heritage and lifestyle brand renowned for its waterproof outerwear-especially its classic waxed-cotton jacket.With more than 10,000 jackets ordered and handmade
If Tito's Handmade Vodka had to identify a single social media metric that most accurately reflects its mission, it would be engagement. Connecting with vodka lovers in an inclusive, authentic way is
What are the common challenges with which sentiment analysis deals?
Visit the Web site of the magazine Asian Scientist and read the article by Singapore Management University on text mining and big data (https://www.asianscientist.
Survey some Web mining tools and vendors. Identify some Web mining products and service providers that are not mentioned in this chapter.
Go to attensity.com. Download at least three white papers on Web analytics applications. Which of these applications might have used a combination of data/ text/Web mining techniques?
Discuss the differences and commonalities between text mining and Web mining.
In your own words, define Web mining, and discuss its importance.
Canadian Football League (CFL) is Canada's equivalent of the U.S. National Football League (NFL). It had a challenge of organizing 81 football games for 9 teams over a period of 5 months optimally
How does prescriptive analytics relate to descriptive and predictive analytics?
List and briefly discuss the major components of a quantitative model.
Ingram Micro is the world's largest twotier distributor of technology products. In a twotier distribution system, a company purchases products from manufacturers and sells them to retailers who in
Explain why a manager might perform what if analysis.
How can a decision tree be used in decision making?
The Pennsylvania Adoption Exchange (PAE) was established in 1979 by the State of Pennsylvania to help county and nonprofit agencies find prospective families for orphan children who had not been
Visit the INSPIRE Grid project’s Web site (http://www.inspire-grid.eu/index.php/results/decision-tree/). On the INSPIRE Grid page, four categories of tools are identified and organized based on the
Meals on Wheels Association of America (now Meals on Wheels America) is a notforprofit organization that delivers approximately one million meals to homes of older people in need across the United
Regional Neonatal Associates is a ninephysician group working for the Neonatal Intensive Care Unit (NICU) at the University of Tennessee Medical Center in Knoxville, Tennessee. The group also serves
This exercise was also contributed by Dr. Rick Wilson of Oklahoma State University to illustrate the modeling capabilities of Excel Solver.National signing day for rugby recruiting season 2018 has
This exercise was also contributed by Dr. Rick Wilson of Oklahoma State University. You are the Water Resources Manager for Thirstiville, OK, and are working out the details for next year's contracts
A manufacturing services provider of complex optical and electromechanical components seeks to gain efficiency in its jobshop scheduling decision because the current shopfloor operations suffer from
A steel manufacturing plant produces rolled steel tubes for different industries across the country. They build tubes based on a customer's requirements and specifications. Maintaining high quality
Cosan is a Brazilbased conglomerate that operates globally. One of its major activities is to grow and process sugar cane. Besides being a major source of sugar, sugar cane is now a major source of
Getting a good forecast and understanding of the situation is crucial for any scenario, but it is especially important to players in the investment industry. Being able to get an early indication of
What are some of the unique features of Spark as compared to Hadoop?
Identify some of the key Big Data technology vendors whose key focus is on-premise Hadoop platforms.
Data circulation is growing exponentially. In 2013, it was 4.4 zettabytes; by 2020, it is expected to reach 44 zettabytes. Parallel with this is the number of companies investing in ways to put these
Give examples of companies that have adopted Apache Spark. Find new examples online.
eBay is one of the world's largest online marketplaces, enabling the buying and selling of practically anything. One of the keys to eBay's extraordinary success is its ability to turn the enormous
At teradatauniversitynetwork.com, go to the Sports Analytics page. Find applications of Big Data in sports. Summarize your findings.
On the Internet today, all users have the power to contribute as well as consume information. This power is used in many ways. On social network platforms such as Twitter, users are able to post

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