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 ...

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of ...

Across the globe, dyslexia and dysgraphia are two frequent learning disorders identified in classrooms. This condition is characterized by difficulties in age-appropriate reading without any ...

This publication provides an in-depth overview of various neural network layers, including their historical development, mathematical formulations, and code implementations. We cover common layer ...

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 ...