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Ever wondered how an Internet search engine - Google, Yahoo! or Bing - fetches you the correct information in seconds? Or, Amazon fishes out the product you've been looking for in a jiffy? Or, the food delivery app knows so much about restaurants across the country? Well, all these Internet engines run on the same oil: data. More specifically, they look for patterns in a deluge of data to produce the best results for your queries within a fraction of a second.

How To Land A Data Science Job Amid COVID


The COVID pandemic had a massive impact on campus placements. Most students consider campus placement as a criterion while looking at colleges for higher studies. That's the reason why universities and colleges with higher placement percentages are high on the preference list of students. That said, landing the right job is not easy. Students tend to overlook critical criteria at campus placements.

Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation


We present a novel approach of 2D to 3D transfer learning based on mapping pre-trained 2D convolutional neural network weights into planar 3D kernels. The method is validated by the proposed planar 3D res-u-net network with encoder transferred from the 2D VGG-16, which is applied for a single-stage unbalanced 3D image data segmentation. In particular, we evaluate the method on the MICCAI 2016 MS lesion segmentation challenge dataset utilizing solely fluid-attenuated inversion recovery (FLAIR) sequence without brain extraction for training and inference to simulate real medical praxis. The planar 3D res-u-net network performed the best both in sensitivity and Dice score amongst end to end methods processing raw MRI scans and achieved comparable Dice score to a state-of-the-art unimodal not end to end approach. Complete source code was released under the open-source license, and this paper complies with the Machine learning reproducibility checklist.

A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration Artificial Intelligence

Dimensionality reduction is a common method for analyzing and visualizing high-dimensional data. However, reasoning dynamically about the results of a dimensionality reduction is difficult. Dimensionality-reduction algorithms use complex optimizations to reduce the number of dimensions of a dataset, but these new dimensions often lack a clear relation to the initial data dimensions, thus making them difficult to interpret. Here we propose a visual interaction framework to improve dimensionality-reduction based exploratory data analysis. We introduce two interaction techniques, forward projection and backward projection, for dynamically reasoning about dimensionally reduced data. We also contribute two visualization techniques, prolines and feasibility maps, to facilitate the effective use of the proposed interactions. We apply our framework to PCA and autoencoder-based dimensionality reductions. Through data-exploration examples, we demonstrate how our visual interactions can improve the use of dimensionality reduction in exploratory data analysis.

To slow deadly hepatitis outbreak, paramedics will now provide vaccinations to the homeless

Los Angeles Times

Paramedics are the newest troops in the fight against San Diego's ever-growing hepatitis A outbreak. A letter signed this week by the director of the state Emergency Medical Services Authority temporarily expands state laws that govern paramedics, granting them emergency powers to "vaccinate at-risk populations in response to the outbreak." Dr. Kristi Koenig, director of the San Diego County Emergency Medical Service, requested the temporary scope of practice expansion on Sept. 20 and said Wednesday night that she received approval in the mail Tuesday. Paramedics will be able to deliver hepatitis A doses only under the supervision of nurses and only at special events created to inoculate those who are at high risk of infection, including homeless residents, drug users and those with liver disease or compromised immune systems. Usually only nurses and doctors are allowed to give the vaccine.