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Identify research questions that can be addressed by your analysis and, ideally, present relevant existing literature and contrast your results against it.

ST3189: Assessed Coursework Project You will undertake a project that will determine your final mark of the course by 30 per cent. The project will require you to analyse one or more real-world datasets of your choice. You can use the OpenML website, the UCI repository, or any other open access domain to select your […]

What are the techniques/approaches used until now to attack the problems identified in part (1)?

Machine Learning Question (1) What are the issues? (2) What are the techniques/approaches used until now to attack the problems identified in part (1)? (3) Your critics of the current approaches (or shortcomings of the current solutions). (4) Summary and conclusions. You need to include possible future work in this area.Your report/paper must be at […]

Critically evaluate the key resources, capabilities, core competences and knowledge available for the chosen company to successfully compete within its boundary and sustain a competitive advantage?

B2C E-Commerce The development of B2C ecommerce has been a major driver of economic growth and innovation over the past two decades. B2C ecommerce refers to the buying and selling of goods and services between businesses and consumers. This type of e-commerce has revolutionized the way businesses and consumers interact, allowing for faster, more efficient […]

Assume you are not given the probability distributions P(Y), P(Xi iY) or P(X2IY), and are asked to estimate them from data instead. How many parameters would you need to estimate?

Machine Learning Problem 1: Naive Bayes Classifiers (20 pts) Consider the binary classification problem where class label Y E {0, 1} and each training example X has 2 binary attributes X = [X1, X2] E {0,1}2. Assume that class priors are given P(Y = 0) = P(Y = 1) = 0.5, and that the conditional […]

What is the value proposition? What problem does the product solve for customers?

Machine Learning Time Series Forecasting – Jupiter Python ⦁ What use case has your group selected? What are we trying to sell and to whom? a. Who is the user we are building the product for? What does the user want to accomplish? – Jobs to be Done . b. What data do we need […]

How is this dual problem related to the logistic regression?

MACHINE LEARNING 1 Duality (40 points) In class, we have talked the maximum entropy model. For learning the posterior probabilities Pr(ylx) = p(yjx) for y = 1, ,K given a set of training examples (xi, yi), i = 1, , n, we can maximize the entropy of the posterior probabilities subject to a set of […]

Report the coefficients values by using the standard Least Square Estimates -What is the standard error of the estimated coefficients, R-squared term, and the 95% confidence interval?

Machine Learning Q1 Fit a predictive linear regression model to estimate weight of the fish from its length, height and width? (the data source fish.csv can be found here: https://www.kagnle.com/aungnvaeap/fish-market) (50 points) -Report the coefficients values by using the standard Least Square Estimates -What is the standard error of the estimated coefficients, R-squared term, and […]

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