Introdução a processos de validação mais complexos do que o hold out básico (train/test), como validação cruzada, grupos etc. (⭐ 13)
With growing machine learning (ML) applications in healthcare, there have been calls for fairness in ML to understand and mitigate ethical concerns these systems may pose. Fairness has implications for global health in Africa, which already has inequ...
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
Glacier mapping is key to ecological monitoring in the hkh region. Climate change poses a risk to individuals whose livelihoods depend on the health of glacier ecosystems. In this work, we present a machine learning based approach to support ecologic...
With the increase in adoption of machine learning tools by organizations risks of unfairness abound, especially when human decision processes in outcomes of socio-economic importance such as hiring, housing, lending, and admissions are automated. We...
The web is loaded with textual content, and Natural Language Processing is a standout amongst the most vital fields in Machine Learning. But when data is huge simple Machine Learning algorithms are not able to handle it and that is when Deep Learning...
Modern software systems increasingly integrate machine learning (ML) due to its advancements and ability to enhance data-driven decision-making. However, this integration introduces significant challenges for software engineering, especially in softw...
Points: 543 | Comments: 316 | Author: truxs
Systematic reviews, which entail the extraction of data from large numbers of scientific documents, are an ideal avenue for the application of machine learning. They are vital to many fields of science and philanthropy, but are very time-consuming an...
Simple machine There are six 'simple machines'. They are: the wedge, the Inclined plane (ramp), the screw, the lever, the pulley, and the wheel and axle. Compound machines are made up of two or …
A machine is a mechanical device that uses power to apply force and control motion to perform work efficiently. Machines range from simple tools like pulleys and levers to complex systems like engines, …
MACHINE definition: 1. a piece of equipment with several moving parts that uses power to do a particular type of work…. Learn more.
machine, device, having a unique purpose, that augments or replaces human or animal effort for the accomplishment of physical tasks.
A machine is a thermodynamic system that uses power to apply forces and control movement to perform an action. The term is commonly applied to artificial devices, such as those employing engines or …
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
Mixture of experts is a prediction aggregation method in machine learning that aggregates the predictions of specialized experts. This method often outperforms Bayesian methods despite the Bayesian having stronger inductive guarantees. We argue that...
Neural Machine Translation (NMT) systems are used in various applications. However, it has been shown that they are vulnerable to very small perturbations of their inputs, known as adversarial attacks. In this paper, we propose a new targeted adversa...
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
A C program that implements simple “one-shot” machine learning algorithm for predicting house prices in an area. I get a glimpse of AI/ML by implementing a simple machine learning algorithm to predict house prices based on historical data. (⭐ 2)