Inductive techniques are used for generating hypotheses from data whereas deductive techniques are used to derive knowledge and to verify hypotheses. In order to guide users in the the analysis process, we have developed a system which integrates deductive tools, data mining tools (such as ...
Diverse neuro-imaging techniques measure different aspects of neural responses with distinct spatial and temporal resolutions. Relating measured neural responses across different methods has been challenging. Here, we take a step towards overcoming this
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To eliminate errors due to the distribution of the data in the dataset, the validation is usually performed with cross-validation (CV) techniques [28]. The most common form of the CV is k-fold cross validation. Here, the training data are split k-times into sets for training and testing...
There are some graph types that we are all aware of, like a bar graph, pie chart, line graph, etc. But there are a lot many graphs that are used for different purposes. Data visualization makes your presentation more understandable and appealing. ...
Several teams, such as the Philadelphia 76ers, are leveraging intricate data analysis techniques, such as data visualization and hypothesis testing, to analyze NBA games to influence the coaching strategy. This type of analysis has had a profound effect on Basketball. More of the action is ...
Advanced Data Science: Statistics and Prediction Algorithms Through Case Studies by Rafael A. Irizarry Data Science at the Command Line by Jeroen Janssens Fundamentals of Data Visualization by Claus O. Wilke Hands-On Data Visualization by Jack Dougherty and Ilya Ilyankou Introduction to Data Sc...
In this case study, the mycelium growth of Sclerospora graminicola in the infected tissues of pearl millet and the process of sporulation and liberation of sporangia and zoospores were observed using four different microscopic techniques. The cotton blue-stained samples observed under light microscope...
The step includes visualization and analysis of data. Raw data may possess improper distributions of data which may lead to issues moving forward. Again, during applications we must also know the distribution of data, for instance, the fact whether the data is linear or spirally distributed. Gui...
Morey RD (2008) Confidence intervals from normalized data: A correction to Cousineau (2005).Tutorial in Quantitative Methods for Psychology, 4, 61–64. Mori S, Ikeda S, Saito H (2017) A survey of diminished reality: techniques for visually concealing, eliminating, and seeing through real objec...