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However, the basic components of writing a PhD dissertation are more and less similar to undergraduate and master's thesis. But the thing that makes it different from the thesis you have completed previously includes a deep understanding or in-depth interpretation of facts under study. Moreover, there are many other things that a PhD dissertation must exhibit, so it must be good enough to stand out. This is what we are going to discuss in this article. This article will discuss some characteristics that a dissertation must contain to immediately get accepted by the international dissertation acceptance committee.

Education is a field that aims to assist future teachers in developing a deep understanding of various learning processes and approaches. Students pursuing their studies in the field of education are supposed to be the educational experts in the near future. So, during their stay at universities they are trained to effectively handle all teaching and learning problems in order to improve the overall educational standards nationwide. Research in education must also revolve around identifying the problems in the current educational systems and finding their solutions. Throughout the research project, the only thing that must remain under discussion is the topic of the dissertation. So, if someone chooses a good topic for an education dissertation, the chances that the overall impact of th

Exploratory data analysis is very commonly used among data scientist and researchers. It is because it can allow you to get deep insights from a particular dataset. In this way, a data scientist can draw a particular outcome from a dataset with the help of the EDA process. However, it is a very difficult process. Thus, you need to know an effective method before doing this analysis. This article will give you the best method to do an exploratory data analysis.

With the increasing use of artificial intelligence and automation, the way of doing things is changing in almost every sphere of life. Neural networks are also an integral part of this process. Working just like a human brain, this network is changing the world. Because of this, humans now do not have to do repetitive and time-consuming tasks. In this artificial intelligent world that is full of automation and deep learning technologies, these networks play a crucial role in solving complex problems and tasks using minimum time and money. This article can help you understand neural network analysis's most common uses and benefits.