Machine Learning vs. Deep Learning Artificial Intelligence (AI) has two mechanisms of learning: Machine Learning and Deep Learning. As these two phrases are often interchangeable, let’s discover the differences between them in this article. Note: This is a guest post by author Anita Basa, an enthusiastic Digital Marketer and content writer working at Tekslate.com. I write […]
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In this post, you will learn how to create PowerPoint presentations using R and RMarkdown. There are other presentation options in RMarkdown and RStudio such as ioslides, slidy, and beamer, but for this post, we will focus on PowerPoint presentations. We will see three ways of creating PowerPoint presentations: Using the default RMarkdown option Using […]
Continue readingIntroduction When computer science is making rapid advances, one may ask “what new knowledge can be gained by reviewing previous work?” Cataloging previous work offers many benefits: a) we can notice the gaps to build upon, b) we can sense the future direction of research, and c) we can learn what has worked and what […]
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In this post, you will learn how to repeat certain analysis using R and RMarkdown. Recently, I saw many dissertations on higher education fundraising in which the researchers had used a data set, selected some variables, ran correlation or association as well as significance tests, and built a logistic regression model on the selected variables. […]
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All Data Has A Story. Here’s How to Tell it As data scientists, we all know the power of data. It provides hard evidence for things that are working (or not), it allows us to test our assumptions, and it helps us make better decisions. But there’s one thing data can help with that often gets […]
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