Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the hiring process. Designing end-to-end workflows from data cleaning to evaluation ...

The popular MNIST dataset is used for the digit recognition task using different machine learning algorithms such as KNN and SVM with HOG features. A simple feed-forward neural network is also used ...

A library of open datasets for data analytics/machine learning compiled by HackerNoon. Data powers machine learning algorithms and scikit-learn or sklearn offers high quality datasets that are widely ...

This study proposes voltage-dependent-synaptic plasticity (VDSP), a novel brain-inspired unsupervised local learning rule for the online implementation of Hebb’s plasticity mechanism on neuromorphic ...

Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077 Centre for Biosystems, Neuroscience, and Nanotechnology, City University of Hong Kong, Kowloon, Hong Kong ...

Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. As ...

Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems. Many machine learning problems fall into one of three ...