"Background Dropout and poor academic performance are persistent problems in medical schools in emerging economies. Identifying at-risk students early and knowing the factors that contribute to their success would be useful for designing educational interventions. Educational Data Mining (EDM) methods...
Source: biomedcentral.com
Why Use Ensemble Learning? - Machine Learning Mastery: What are the Benefits of Ensemble Methods for Machine Learning?
Ensembles are predictive models that combine predictions from two or more other models.
Ensemble learning methods are popular and the go-to technique when the best performance on...
Source: machinelearningmastery.com
Police Across Canada Are Using Predictive Policing Algorithms, Report Finds: Police across Canada are increasingly adopting algorithmic technology to predict crime. The authors of a new report say human rights are threatened by the practice.
Source: vice.com
"any user interaction behavior must be analyzed in the specific education context such as the learning design and course modality. An understanding of the learning design context is imperative for establishing accurate predictive models alongside pedagogical recommendations."...
Source: www.sfu.ca
Artificial intelligence yields new antibiotic: A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
“The idea of using predictive computer models for “in silico” screening is not new, but until now, these models were not sufficiently...
Source: mit.edu
Python is the Growing Platform for Applied Machine Learning - Machine Learning Mastery: You should pick the right tool for the job. The specific predictive modeling problem that you are working on should dictate the specific programming language, libraries and even machine learning algorithms to use....
Source: machinelearningmastery.com