Machine Learning

Topics Discussion: Machine Intelligence in Industry 4.0: 1. Important functions of machine learning data analysis and cognitive computing. Concentration of work should be made in logistics, robotics, supply chain management, cars withou …

Introduction The paper is all about providing teaching session plan to Mrs Philpott who is a patient of type 2 diabetes and needs intervention for blood sugar glucose levels monitoring and recording so that she can manage her diabetes on her own. …

1. Introduction The main objective of this project is to analyse the provided wireless telecommunications datasets with the help of Python programming. This analysis is used to predict customer churn, roll out solutions to their customers facing p …

Focus areas: 1. Machine Learning Applications in Healthcare 1. Introduction Applications of Machine learning (ML) are having a crucial impact on different healthcare organizations. ML can be identified as an Artificial Intelligence or AI techno …

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1. Problem (75 marks) 1.1 Background on Credit Card Dataset The data, “CreditCard Data.xls”, is based on Yeh and Lien (2009). The data contains 30,000 observations and 23 explanatory variables. The response variable, Y, is a binary variable …

Topic: "Strategic application and Critical analysis of Machine Learning to manage and mitigate Risks within the [COMPANY_XXX] Supply Chain" Abstract: In today’s complex supply networks, disruptions caused by diverse events represent major …