Machine Learning Data Analytics Tool
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Machine Learning Data Analytics use self-improving algorithms to extract data and calculate statistical inferences, providing predictive insights on future events. While traditional data analysis uses a static model built on past data and specialist interference, machine learning automatically looks for predictor variables and their interactions, starting with the outcome variables. When the machine learning algorithm is given a goal, it learns from the collected data which factors and variables are important to achieve that goal. Without relying on specific programming, the algorithms are in constantly improving as more information is collected and analyzed.
In oppressive governments or companies, these systems may be used to deliberately retain pay gaps or even automate the harassment of female workers.
Potential to overcome cultural and social norms, which can entail gender biases in education, business, etc.
Gender-sensitive advisory services for vocational training actors due to recurring data collection.