Deep learning requires both a large amount of labeled data and computing power. If an organization can accommodate both needs, deep learning can be used in areas such as digital assistants, fraud detection and facial recognition. Deep learning also has a high recognition accuracy, which is crucial...
first-year students in the “transition-in” phase, which is based on the IS success model of Delone and McLean (2003), is proposed and those factors that influence student satisfaction with the app, the intention to reuse the app, and students’ learning effectiveness are analyzed. This prep...
An equity risk premium is based on the idea of therisk-reward tradeoff. It is a forward-looking figure and, as such, the premium is theoretical. But there's no real way to tell just how much an investor will make since no one can actually say how well equities or the equity market ...
One effective method is using a learning curve, a chart that tracks a measure called loss. The loss represents the magnitude of the error the model is making. However, we don’t just track the loss for the training data; we also measure the loss on unseen data, called validation data. ...
According to common understanding, replication is repeating a study’s procedure and observing whether the prior finding recurs [7]. This definition of replication is intuitive, easy to apply, and incorrect. The problem is this definition’s emphasis on repetition of the technical methods—the proce...
Content analysis as a research method, provides lots of in-depth detail on the meanings behind responses. It gets into the nitty-gritty details and explores the respondent’s interpretations and opinions. It is a qualitative research method, however, the data can be quantified, making it a suit...
At the same time it is important to comprehend the decision-making process itself. In other words, transparency of the what and why in a decision of a nonlinear machine becomes very effective for the essential task of judging whether the learned strategy is valid and generalizable or whether ...
These studies have revealed facts concerning what the ideal line up size should be in order to increase true positive rates and reduce rates of false positives (Juncu & Fitzgerald, 2021). There is also evidence that in ideal situations, initial confidence is strongly related to an accurate ...
First, much of the existing research on TM remedies for treating zoonotic diseases has narrowly focussed on localised case studies and populations, limiting generalizable insights at a broader landscape or regional scale. Therefore, there is a need for secondary studies that can aggregate, analyse ...
However, despite many illuminating studies, it remains an open question to what extent transcriptomic clusters represent true cell types and what level of granularity is appropriate for defining cell types. Nonetheless, over the past few years, tremendous progress has been made and many new insights...