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Explain the key ways in which the previously identified business operation would be impacted if the cloud did not provide these services
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If the cloud did not provide thee services then the ways m hope it answers the question. thank you ! If any problems contact +918670378388 (whatsapp) skmdadil@rediffmail.com anytime.
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hey can you give replies to these 2 posts of my peers , as its part of the question. thanks1) Like any other project, conducting an artificial neural network requires preparing the data and the tools necessary to efficiently and accurately produce a desired product. According to Sharda et al (2020),the first step in the process of conducting an ANN project is gathering the data needed, arranging data to make sure that it is suitable for the ANN, and mold it into usable formats. The second step involves grouping data in the right clusters or training sets and validating the data(Sharda et al.,2020). Once the suitable data is ready, the next step is deciding on which network architecture will be used, and an appropriate learning algorithm is selected (Sharda et al.,2020). According to Sharda et al (2020) the fifth step involves customizing or tuning the parameters for the intended network and initializing the weights. Each neural network requires a specific data application, therefore, Sharda et al(2020) pointed out that the once the weights and the parameters are initialized, the next step is to transform the data into formats that are appropriate for the desired ANN.In step seven and eight, the input data and the desired output from the training sets are introduced to the ANN, and the neural network adjusts the weights in order to produce a desirable output (Sharda et al.,2020). After the weights have been adjusted, the created and tested neural network is deployed and used on new input data, in order to produce a different desired output and decision makers can decide if the right ANN was produced, and they would suggest modifications if deemed necessary (Sharda et al.,2020).ReferenceSharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-62) Neural Network Project
Neural networks represent a brain metaphor for information processing. These models are biologically inspired rather than a replica of how the brain functions (Sharda et al., 2020).
Step 1: Collect, organize, and format the data: The data to be used for training and testing the networks are collected. Important considerations are that the particular problem is amenable to a neural network solution and that adequate data exist and can be obtained (Turban et al., 2014).
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Create a discussion thread (with your name) and answer the following question:
Discussion (Chapter 6): List and briefly describe the nine-step process in con-ducting a neural network project.
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hey can you give replies to these 2 posts of my peers , as its part of the question. thanks1) Like any other project, conducting an artificial neural network requires preparing the data and the tools necessary to efficiently and accurately produce a desired product. According to Sharda et al (2020),the first step in the process of conducting an ANN project is gathering the data needed, arranging data to make sure that it is suitable for the ANN, and mold it into usable formats. The second step involves grouping data in the right clusters or training sets and validating the data(Sharda et al.,2020). Once the suitable data is ready, the next step is deciding on which network architecture will be used, and an appropriate learning algorithm is selected (Sharda et al.,2020). According to Sharda et al (2020) the fifth step involves customizing or tuning the parameters for the intended network and initializing the weights. Each neural network requires a specific data application, therefore, Sharda et al(2020) pointed out that the once the weights and the parameters are initialized, the next step is to transform the data into formats that are appropriate for the desired ANN.In step seven and eight, the input data and the desired output from the training sets are introduced to the ANN, and the neural network adjusts the weights in order to produce a desirable output (Sharda et al.,2020). After the weights have been adjusted, the created and tested neural network is deployed and used on new input data, in order to produce a different desired output and decision makers can decide if the right ANN was produced, and they would suggest modifications if deemed necessary (Sharda et al.,2020).ReferenceSharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-62) Neural Network Project
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Step 2: Separate data into training, validation, and testing sets: The training data must be identified, and a plan must be made for testing the performance of the network.
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