Analytics Data Science And Artificial Intelligence Systems For Decision Support 11th Global Edition Ramesh Sharda, Dursun Delen, Efraim Turban - Solutions

Download KNIME analytics platform, one of the most popular free/open-source software tools from knime. org. Identify the deep learning examples (where Keras is used to build some exemplary prediction/classification models) in its example folder. Study the models in detail. Understand what it does
What is overfitting in ANN learning? How does it happen, and how can it be mitigated?
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 and limitations of these technologies.
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 feature designs and development or even new products.Understanding customer sentiment and knowing
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 three Jeopardy! episodes during February 14-16), Watson beat Brad Rutter, the highest all-time money
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 limitations of these technologies.
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 your findings, and comment on the capabilities and limitations of these technologies.
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 relationships becomes easier as new sources of data emerge, data volumes continue their
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 has been at the forefront of this new golden age of television, producing a string of successful,
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 mining. Why is text mining so important in the present?
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 Lawn Tennis Club (AELTC), it has been a global sporting and cultural institution since 1877.The
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 its possible areas of use?
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 ups and downs to compete at the highest levels of the NBA.Professional sports teams in smaller
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 each year, Barbour has held a strong position in the luxury goods industry for more than a century,
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 something Tito's takes very seriously, and the brand's social strategy reflects that vision.Founded
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. com/2014/06/features/smu-jiang-jing-2014/). Discuss the writer’s argument that text mining is still in its early stages and its use
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 while stabilizing matching priorities for sales revenue, television ratings, and the team rest days.
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 turn sell these products to the end users. For example, one can purchase a Microsoft Office 365
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 adopted due to age or special needs. The PAE keeps detailed records about children and preferences of
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 size of the intended audience and the amount of resources required to implement the tool. Discuss
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 States. Metro Meals on Wheels Treasure Valley is a local branch of Meals on Wheels America operating
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 two local hospitals in the Knoxville area for emergency purposes. For many years, one member of the
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 been completed. Now, as the recruiting coordinator for the San Diego State University Aztec rugby
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 with three different entities to supply water to your town. Each water source (A, B, C) provides
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 few issues:• There is no system to record when the workinprocess (WIP) items actually arrive at
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 norms and timely delivery of products are two of the foremost important criteria for this steel
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 ethanol, a main ingredient in renewable energy. Because of the growing demand for renewable energy,
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 how a particular retailer’s sales are doing can give an investor a leg up on whether to buy or
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 data to good use.Retail is one of the sectors that have witnessed the most rapid changes in this
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 volumes of data it generates into useful insights that its customers can glean directly from the pages

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Analytics Data Science And Artificial Intelligence Systems For Decision Support 11th Global Edition Ramesh Sharda, Dursun Delen, Efraim Turban - Solutions

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