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What is Randomized Control Trial? It is a study design where the participants of the study are randomly assigned in one of the two groups, experimental or control group. As the study progresses, the only difference between the experimental and control group is the outcome variable that is of interest (or which is being studies). What are the Advantages of Randomized Control Trial Study Design? The advantages of randomized control […]
Meta Analysis is a systematic way to combine the findings (both Qualitative and Quantitative) from several selected studies to arrive at a single conclusion that has greater statistical power. Meta-Analysis is a type of systematic review (which answers the research questions by collecting and summarizing all empirical findings that are selected basis pre-specified criteria. The conclusion based on meta-analysis is statistically stronger than that from each of the individual studies. […]
Supervised Learning and Unsupervised Learning are two of the most widely used machine learning methods. However, there are other methods as well and in this article we are going to discuss about some other popular machine learning methods. Supervised Learning: As the name suggests, there is some sort of supervision involved in this set of machine learning algorithms. Here, the algorithm is trained using labeled data. For example, consider a […]
In this article we will go one step further and discuss regarding Naïve Bayes Classification. This is the second article in our machine learning for beginners’ series. In the last article, we discussed regarding the general idea of Machine Learning. Naïve Bayes Classification Algorithm is a supervised machine learning technique that is used to solve classification problems. Bayes Theorem (posterior probability) forms the core part of the Naïve Bayes algorithm. […]
