Machine Learning/Artificial Intelligence Techniques and Applications in the Domain of Data Science - Bachelor thesis

Aug 4, 2026

Digitalization has reshaped data science by enabling researchers and organizations to extract meaning from complex data sets and convert that knowledge into actionable insights using artificial intelligence and machine learning. The thesis investigates how AI and data science can be combined to support multiple application areas, and it explores anticipated uses, involved standards, encountered issues, and the steps required to achieve them. The work uses qualitative, theoretical research to form a design foundation based on related concepts, development methodologies, and supporting technologies. The results synthesize findings, demonstrate correlations through existing examples, and propose a platform-oriented design for further improvements.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages32

Reading Time1 h 21 min

AccessFree to download

1. Introduction

2. Knowledge Base of Development Work in Machine Learning and Data Science

2.1 Literature Review

2.2 Fundamentals of Data Science, Machine Learning and Artificial Intelligence

3. Aim and Purpose of the Development

3.1 Aims and Purposes

3.2 Prerequisites

3.3 Agile Methodology

3.4 PRINCE2

4. Design and Implementation

4.1 System Description

4.2 Technologies

Machine Learning/Artificial Intelligence Techniques and Applications in the Domain of Data Science Bachelor thesis Degree Programme in Computer Applications spring, 2023 Herath Herath Degree Programme in Computer Applications Abstract | Author | Herath Herath Year 2023 | | --- | --- | | Subject | Machine Learning/Artificial Intelligence techniques and applications in the domain of
Data Science | | Supervisors | Umut Tosun | ABSTRACT Digitalization has revolutionized data science, allowing researchers and organizations to extract meaning from complex data sets and uncover actionable insights with the use of Artificial intelligence and machine learning. Several studies suggested the potential of connecting artificial intelligence with data science could have in many fields and areas. Therefore, the purpose of the thesis is to uncover possibilities of contexts to design a platform which could support data science needs with the use of machine learning standards. Therefore, several questions were asked to anticipated uses of similar areas, standards used by them, issues faced by them, and steps taken to achieve them. The research was approached as qualitative research and it was handled theoretically to come up with a proper design which could support the main intention of the project. The document addressed relative concepts, standards, development methodologies and required technologies which assisted to form a theoretical structure to support arguments to highlight the importance of having use of Artificial intelligence and data science. In the end, a concise amount of information was gathered to support and evidently prove a correlation between Artificial Intelligence and Data Science while demonstrating it using existing examples and proposed design from this document. Therefore, all collective information supports its influence which can have on a broader area and those chances can be used for further improvements in the field as I suggested it use in research and development from this document. Keywords Artificial Intelligence, Machine Learning, Data Science, Supervised Learning Pages 23 pages and appendices 0 pages Glossary HTML Hypertext Markup Language for web pages ML Machine Learning AI Artificial Intelligence Contents Table of Figures ................................................................................................................. 2 1. Introduction ............................................................................................................... 1 2. Knowledge Base of Development Work in Machine Learning and Data Science .....2 2.1 Literature Review ............................................................................................. 2 2.2 Fundamentals of Data Science, Machine Learning and Artificial Intelligence .3 2.2.1 Data Science.......................................................................................... 3 2.2.2 Machine Learning and Artificial Intelligence ........................................ 5 2.2.3 Mechanisms and Standards.................................................................. 6 3. Aim and Purpose of the Development ...................................................................... 8 3.1 Aims and Purposes ........................................................................................... 8 3.1.1 Integrating Data Science with AI and Machine Learning for Enhanced Accessibility and Application ..................................................................................... 8 3.1.2 To identify the use of different uses of packages available for machine learning and AI developments ............................................................................ 9 3.1.3 Being User Friendly ............................................................................... 9 3.1.4 Being Usable and Availability................................................................ 9 3.1.5

FAQs

What is the main purpose of the thesis?

The thesis aims to uncover possibilities for designing a platform that supports data science needs using machine learning standards, while examining expected uses, standards, and issues.

How was the research conducted?

The research was approached as qualitative research and handled theoretically to produce a proper design supporting the project’s main intention.

What kind of outcomes does the thesis provide?

It gathers and synthesizes information to demonstrate a correlation between Artificial Intelligence and Data Science, using existing examples and a proposed design.

Aug 4, 2026

Upload by Lucas Martin