Consider that machine learning is concerned with predicting or classifying new data points using an existing data set.

Writing the Data Analysis Chapter(s): Results and Evidence

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The results generated by doctoral research are unique, and this book cannot hope to outline all the possible approaches for presenting the data and analyses that constitute research results, but it is essential that you devote considerable thought and special care to the way in which you structure the report of your results (Section 6.1 on headings may prove helpful). Whatever structure you choose should accurately reflect the nature of your results and highlight their most important and interesting trends, and it should also effectively allow you (in the next part of the thesis) to discuss and speculate upon your findings in ways that will test the premises of your study, work well in the overall argument of your thesis and lead to significant implications for your research. Regardless of how you organise the main body of your results chapter(s), however, you should include a final paragraph (or more than one paragraph if necessary) that briefly summarises and explains the key results and also guides the reader on to the discussion and interpretation of those results in the following chapter(s).

Why PhD Success?

This article is part of a book called "PhD Success" which focuses on the writing process of a phd thesis, with its aim being to provide sound practices and principles for reporting and formatting in text the methods, results and discussion of even the most innovative and unique research in ways that are clear, correct, professional and persuasive.

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The assumption of the book is that the doctoral candidate reading it is both eager to write and more than capable of doing so, but nonetheless requires information and guidance on exactly what he or she should be writing and how best to approach the task. The basic components of a doctoral thesis are outlined and described, as are the elements of complete and accurate scholarly references, and detailed descriptions of writing practices are clarified through the use of numerous examples.

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The basic components of a doctoral thesis are outlined and described, as are the elements of complete and accurate scholarly references, and detailed descriptions of writing practices are clarified through the use of numerous examples. PhD Success provides guidance for students familiar with English and the procedures of English universities, but it also acknowledges that many theses in the English language are now written by candidates whose first language is not English, so it carefully explains the scholarly styles, conventions and standards expected of a successful doctoral thesis in the English language.

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Individual chapters of this book address reflective and critical writing early in the thesis process; working successfully with thesis supervisors and benefiting from commentary and criticism; drafting and revising effective thesis chapters and developing an academic or scientific argument; writing and formatting a thesis in clear and correct scholarly English; citing, quoting and documenting sources thoroughly and accurately; and preparing for and excelling in thesis meetings and examinations.

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Completing a doctoral thesis successfully requires long and penetrating thought, intellectual rigour and creativity, original research and sound methods (whether established or innovative), precision in recording detail and a wide-ranging thoroughness, as much perseverance and mental toughness as insight and brilliance, and, no matter how many helpful writing guides are consulted, a great deal of hard work over a significant period of time. Writing a thesis can be an enjoyable as well as a challenging experience, however, and even if it is not always so, the personal and professional rewards of achieving such an enormous goal are considerable, as all doctoral candidates no doubt realise, and will last a great deal longer than any problems that may be encountered during the process.

Writing a Strong Thesis Statement

Glancing through past dissertations helped me understand how a typical machine learning research paper is structured and led to numerous ideas about interesting statistics and visualizations that I could include in my thesis. Writing your thesis at a company simplifies the task of choosing a research topic as you are likely to be put to work on a particular business or research problem.

When you’re working on a research project for multiple months in a row, you are undoubtedly going to have a myriad of doubts and questions to which you won’t find an answer immediately. About how to tackle certain problems, articulate your thoughts or which methods to investigate. Please, for your own health and peace of mind, do not try to find the perfect solution for every problem or try to explore every sideroad there is. Imperfections are unavoidable and in some sense even beneficial. When you are annoyed by a particular problem, write it down! In the end, you can use this list of annoyances to explain the limitations and suggestions for future research in your discussion. Write down your arguments for different choices at every stage of the process so you can recite this when writing down the motivations for your methodology.

Resources:

https://towardsdatascience.com/how-to...
https://www.gcu.edu/blog/doctoral-jou...

Writing the Data Analysis Chapter(s): Results and Evidence

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