Machine Learning 2023

Machine Learning

• 1-3 Collaborative Discussion 1: The 4th Industrial Revolution
• 2 Unit 2 Seminar Preparation
• 3 e-Portfolio Component
• 4 Unit 4 Seminar Preparation
• 5 Jaccard Coefficient Calculations
• 6 Unit 6 Artifacts
• 8 Unit 8 Gradient Cost Function
• 8-10 Collaborative Discussion 2: Legal and Ethical views on ANN applications
• 9 Unit 9 CNN Model Activity
• 11 Unit 11 Model Performance Measurement
• 12 Unit 12 Reflective Essay

Machine Learning Module

This section contains all my work for the Machine Learning module from November 2023. Each unit builds upon core machine learning concepts, with projects, assignments, and artifacts that demonstrate my learning journey.

1-3

Collaborative Discussion 1: The 4th Industrial Revolution

A collaborative discussion on Schwab (2016) article from World Economic Forum, discussing the impact of the fourth industrial revolution on the economy.

Artifacts

• Initial Post The 2018 Marriott Breach: Examining Privacy and Security Concerns in the World of AI.
• Feedback by Liz Feedback by Liz
• Feedback by Daisy Feedback by Daisy

2

Unit 2 Seminar Preparation

This is an exploratory data analysis on the House Prices Kaggle Competition.

Artifacts

• Exploratory Data Analysis A comprehensive tutorial on conducting exploratory data analysis as part of the machine learning process.

3

e-Portfolio Component

An e-Portfolio Activity: Correlation and Regression

Artifacts

• Covariance Pearson Correlation Covariance and Pearson Correlation
• Linear Regression Linear Regression
• Multiple Linear Regression Multiple Linear Regression
• Polinomial Regression Polinomial Regression

4

Unit 4 Seminar Preparation

In-depth preparation for the Unit 4 seminar, encompassing both formative and e-Portfolio elements.

5

Jaccard Coefficient Calculations

An e-Portfolio Activity: Jaccard Coefficient Calculations

Artifacts

• Jaccard Coefficient Calculations Jaccard Coefficient Calculations

6

Unit 6 Artifacts

Artifacts

• Development Team Project: Project Analysis Airbnb business analysis using data science approach
• Development Team Project: Project Report Airbnb business analysis report

8

Unit 8 Gradient Cost Function

Calculating cost with gradient descent and learning rate

Artifacts

• e-Portfolio Activity:Gradient Cost Function Gradient Cost Function

8-10

Collaborative Discussion 2: Legal and Ethical views on ANN applications

A collaborative discussion on Hutson (2021) in Nature on Robo-writers discussing on the risks and benefits of the use AI writers at different levels, from administrative work to creative writing.

Artifacts

• Initial Post The exploration of AI-driven writing tools, as discussed by Hutson (2021)
• Feedback by Ahmed Feedback by Ahmed
• My Reply to Ahmed My Reply to Ahmed
• Summary Post Summary Post

9

Unit 9 CNN Model Activity

Convolutional Neural Networks (CNN) - Object Recognition

Artifacts

• e-Portfolio Activity:CNN Model Activity CNN Model Activity

11

Unit 11 Model Performance Measurement

Model Performance Measurement

Artifacts

• e-Portfolio Activity:Model Performance Measurement Model Performance Measurement with Confusion Matrix

12

Unit 12 Reflective Essay

Reflective Essay

Artifacts

• e-Portfolio Activity:Reflective Essay Reflective Essay

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