https://www.analyticsvidhya.com/blog/2021/07/deep-convolutional-generative-adversarial-network-dcgan-for-beginners/ can you explain this article to me, in a simpler easier way bc i cannot understand some of the points made. So i would appreciate if you coul make me a keypoints but I want to understand it well so I would appreciate if you could do it in great detail. Thank you very very very much. :)
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https://www.analyticsvidhya.com/blog/2021/07/deep-convolutional-generative-adversarial-network-dcgan-for-beginners/
can you explain this article to me, in a simpler easier way bc i cannot understand some of the points made. So i would appreciate if you coul make me a keypoints but I want to understand it well so I would appreciate if you could do it in great detail. Thank you very very very much. :)
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- Twitter has become a very popular personal as well as business social networking site. After reading the information presented in this module and other sources, write a one-page paper that summarizes five ways that a business can use Twitter in order to increase its revenue. What does “trending” mean on Twitter? What are promoted Tweets? A Mediterranean restaurant chain with more than 25 restaurants in Southern California is trying to expand its operations. After reading the information presented in this module and other sources, write a two-page paper that outlines a mobile marketing program for this company. What are three mobile marketing strategies that you recommend for this company? What are the bases of your recommendations for reaching out to the largest number of potential customers with a moderate cost? Multichannel, cross-channel, and omnichannel are being increasingly used by all types of businesses. After reading the information presented in this module and other sources,…To what end is the Model-View-Controller (MVC) pattern put to use when developing web apps? Is there a method to take use of MVC's strengths?Please discuss your feelings about data transformation. Was this the first time that you had heard of it? What do you think? Does this affect your feeling about the statistics that you hear every day? One thing that I'm hoping to read from you is if you are now seeing statistics in a different light. These last couple of chapters bring it all together. You've learned so much these past 13 weeks---now it's time to be able to talk about it.
- HareFractionalBirthRate InitialHares HareBirths HareDeaths Hares Area HareDensity LynxFractionalMortalityRate Lynx LynxBirths LynxDeaths InitialLynx LynxFractionalBirthRate a. What are the 5 loops in this model? What are their polarities?Compare and contrast MS Excel's built-in solver platform and Risk Solver platform. Which of these two do you think is more sophisticated to use and why? 1. In creating the spreadsheet models for the problems, cells in the spreadsheets had to be reserved to represent each of the decision variables in the algebraic models. We reserved these cells in the spreadsheets by entering values of zero in them Why didn't we place some other value or in these cells? Would doing so have made any difference?ce_S1_Mangesh / My courses/55 ITSE415_AppDataSci_S1 / Chapter 4- Data Preprocessing / Quiz 2 - 10 June 2021 Quiz navigation When we try to analyze the result-data of the last 10 semesters for the subject 'Programming-1' and if you are asked to find what will be the final score of any new student based on the value of his Quiz 2 marks, then what type of analysis is this? of Finish attempt- O a. Prescriptive Analysis Time left 0:17:27 tion O b. None of these Oc. Predictive Analysis O d. Descriptive Analysis Next page Jump to.. pter 4- Presentation
- You’re helping a group of ethnographers analyze some oral history data they’ve collected by interviewing members of a village to learn about the lives of people who’ve lived there over the past two hundredyears.From these interviews, they’ve learned about a set of n people (all of them now deceased), whom we’lldenote P1, P2, . . . , Pn. They’ve also collected facts about when these people lived relative to one another.Each fact has one of the following two forms:• For some i and j, person Pi died before person Pj was born; or• for some i and j, the life spans of Pi and Pj overlapped at least partially.Naturally, they’re not sure that all these facts are correct; memories are not so good, and a lot of this waspassed down by word of mouth. So what they’d like you to determine is whether the data they’ve collectedis at least internally consistent, in the sense that there could have existed a set of people for which all thefacts they’ve learned simultaneously hold.Give an efficient…Read the article Facing Bias in Facial Recognition Technology. https://www.theregreview.org/2021/03/20/saturday-seminar-facing-bias-in- facial-recognition- technology/#:~:text=According%20to%20the%20researchers%2C%20facial, part icularly%20vulnerable%20to%20algorithmic%20bias. Which of the following is FALSE? O O O O O All of these are false None of these is false Most facial recognition systems exhibit bias. Algorithms using U.S. law enforcement images falsely identified Native Americans more often than people from other demographics. Facial recognition technologies falsely identified Black faces 10 to 100 times more often than they did white faces but did better with Asian faces Facial recognition technologies falsely identified Black and Asian faces 10 to 100 times more often than they did white faces. Some facial recognition systems have been created using data that often reflects racial, gender, and other biases.Q1- You have been tasked with designing structured overview explanations for an on-line consumer electronics retailer. The recommender system is built using the collaborative filtering approach. The inventory consists of several items, each with several features, e.g, price, weight, battery life and so on. You have logs containing virtually any possible information of (any) user activity. Your goal is to use them to select a small number of relevant features which will be used for presentation. Describe your solution.
- - Can you try using machine learning concepts and techniques to analyse the sentiment analysis text of yelp below . (Connect a business problem to be solved to this data set and use python codes to solve, preferably in a collar notebook please) Yelp reviews data for sentiment analysis available here: https://gitlab.com/valdanchev/data-storage-for- teaching-ml/-/raw/main/yelp_reviews_data_500.csv The data consist of 500 reviews from the website Yelp, each review is labelled 1 (positive review) or 0 (negative review). - If you can explain your process taken too this too I’ll be very grateful . ThanksPlease select two machine learning classifiers (it can be your two favorites) to predict if a patient has diabetes by following the steps below (you may use Jupyter notebook): 1. download the data using this link: https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database 2. you need to import all the necessary libraries 3. you need to read the data( you may use Pandas) 4. you will have to perform some feature engineering to replace zero values for features such as glucose, blood pressure and skin thickness, only if these are not alredy presented in the dataset 5. you need to split the data in training sets and testing sets 6. you need to create classifiers models and then train those models on the train set 7. you also need to use the models to predict on the test set 8. you need to report the accuracy of the models by using the accuracy score and confusion matrix 9. if you can please show some visualization like graphs for the accuracy, confusion matrix and the loss and…People like to think of the internet as the ultimate pinnacle of information and communication technology for a variety of reasons, and one of those reasons is because the internet is so ubiquitous. Which of these justifications do you consider to be the most compelling? Is it essential, in order for a claim to be taken into consideration when it comes to the art of persuasion, for the claim to be backed by specific instances and logical arguments?