Policy Planning have the potential to contribute to the strategic development and economic diversification of developing countries even without considerable structural changes. In this study, we analyzed a set of human-oriented dimensions aimed at im...
Hi everyone, I’m looking for some honest feedback on my resume. I’m targeting **Data Science / Machine Learning / AI roles** (entry-level). Despite applying to hundreds on jobs over the last y...
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Personal slushie machine (⭐ 0)
Points: 18 | Comments: 0 | Author: fortran77
Robustness in deep neural networks and machine learning algorithms in general is an open research challenge. In particular, it is difficult to ensure algorithmic performance is maintained on out-of-distribution inputs or anomalous instances that cann...
Increasing the semantic understanding and contextual awareness of machine learning models is important for improving robustness and reducing susceptibility to data shifts. In this work, we leverage contextual awareness for the anomaly detection probl...
University of the West Indies Open Campus. Retrieved 24 November 2017. "Contact USAT Archived 1 December 2017 at the Wayback Machine." University of Science,
previously called Armas Trejo S.A. and of which, one of its variants, the Trejo Modelo 1 "TIPO RÁFAGA", is considered the smallest machine pistol in the world
This is a list of submachine guns. It includes Submachine guns (SMG), Machine pistols (MP), Personal defense weapon systems (PDW), and "compact submachine
Object anomaly detection is an important problem in the field of machine vision and has seen remarkable progress recently. However, two significant challenges hinder its research and application. First, existing datasets lack comprehensive visual inf...
The goal of this article is to follow a recommended machine learning workflow on how to perform a petrophysical interpretation using an ensemble technique (Supervised Learning model), which is widely known as Random Forest Regression. (⭐ 9)
Instant messaging applications (apps) are one potential source of evidence in a criminal investigation or a civil litigation. To ensure the most effective collection of evidence, it is vital for forensic practitioners to possess an up-to-date knowled...
Machine learning models deployed as a service (MLaaS) are susceptible to model stealing attacks, where an adversary attempts to steal the model within a restricted access framework. While existing attacks demonstrate near-perfect clone-model performa...
Capitalise on deep learning models, offering Natural Language Processing (NLP) solutions as a part of the Machine Learning as a Service (MLaaS) has generated handsome revenues. At the same time, it is known that the creation of these lucrative deep m...
Jun 7, 2018 · The internet speed in Azure Virtual Machine is very slow. Say download speed is 3Mbps and upload is around 1 Mbps.
The performance of differentially private machine learning can be boosted significantly by leveraging the transfer learning capabilities of non-private models pretrained on large public datasets. We critically review this approach. We primarily que...
R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning" (⭐ 61)
The rapid decline in global biodiversity demands innovative conservation strategies. This paper examines the use of artificial intelligence (AI) in wildlife conservation, focusing on the Conservation AI platform. Leveraging machine learning and compu...
In modern Machine Learning, model training is an iterative, experimental process that can consume enormous computation resources and developer time. To aid in that process, experienced model developers log and visualize program variables during train...