Pinker (1990) proposed a cognitive model (see Fig.3), which provides an integrative structure that denotes the distinction between top-down and bottom-up encoding mechanisms in understanding data graphs. Researchers have generalized this model to propose theories of comprehension, learning, and memory...
In this article, I present a new framework of sense-making based on research investigating the benefits and boundaries of generative learning activities (GLAs). The generative sense-making framework distinguishes among three primary sense-making modes—explaining, visualizing, and enacting—that each se...
Students can learn to make inferences by making predictions. We first have to model making predictions. We should walk students through making those predictions. Young students will often tend to predict things that they want to happen. When teaching students to make predictions, we must have them...
R, and various machine learning frameworks, the toolbox for data professionals has grown. The adoption of cloud-based analytics solutions such as Microsoft Azure, Google
These task-based processes are just a few well-known and widely discussed applications that demonstrate machine intelligence [1]. What they share in common is the aim to identify patterns in data to classify people and for classifications to be statistically correlated in making predictions. ...
There are majorly two kinds of predictions corresponding to two types of problen: Classification Regression In classiication, the prediction is mostly a class or label, to which a data points belong In regression, the prediction is a number, a continous a numeric value, because regression pr...
There are majorly two kinds of predictions corresponding to two types of problen: Classification Regression In classiication, the prediction is mostly a class or label, to which a data points belong In regression, the prediction is a number, a continous a numeric value, because regression pr...
The second question in our study was related to identifying whether the focus of the concept informing students’ design decisions was consistent across their predictions and resulting arguments in terms of claims, evidence, and reasoning. For this, we performed a frequency count of the three compon...
: Explaining the Predictions of Any Classifier. arXiv 2016, arXiv:1602.04938. [Google Scholar] Lundberg, S.M.; Lee, S.I. A Unified Approach to Interpreting Model Predictions. In Advances in Neural Information Processing Systems 30; Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., ...
Data based decision making gives businesses the capabilities to generate real-time insights and predictions to optimize their performance. This allows them to test the success of different strategies and make informed business decisions for sustainable growth. ...