Naive Principal Component Analysis
Behind the Principal Component Analysis there is a geometric interpretation of the data; specifically, a principal component is a direction in which the data has the largest variation.
Machine learning
Behind the Principal Component Analysis there is a geometric interpretation of the data; specifically, a principal component is a direction in which the data has the largest variation.
In finance, sentiment refers to the measurement of the excessive confidence, either positive or negative, of investors in a specific situation. The fundamental reason why it is studied is because psychologists determined sentiment as a relevant factor affecting the judgement and decisions of investors.
Machine learning has evolved from pattern recognition and matching to the self-adaptation of models to new data; related, but different, paradigms are data mining and Bayesian analysis. Substantially, the learning from previous computations is employed to generate well funded and repeatable results. Specifically, it is possible to cheaply and almost automatically produce models that can…