Machine Learning and AI with Python" is an intermediate online course on edX, supported by Harvard SEAS. It teaches AI-driven decision-making using Python, cove ...

Overview  This article covers the 7 top Coursera machine learning certifications across beginner to advanced levels.It ...

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

This repository contains a Python package that implements the k-Nearest Neighbors (k-NN) algorithm for classifying Iris flowers into three species: setosa, versicolor, and virginica. The package uses ...

Abstract: We have expanded the scope of fuzzy-rough-learn 0.2 from fuzzy rough sets to also cover one-class classification, facilitating the exploration of practical and conceptual connections between ...

Abstract: The present article proposed an algorithm of Deep Learning for blueberry (Vaccinium Corymbosum) classification based on their quality characteristics. The problematic is the high export ...

This repository contains all the machine learning algorithms studied in discipline "Engenharia Médica Aplicada" of Biomedical Engineering course at UNIFESP in the second semester of 2018. All the ...

It's all well and good to deliver successive machine learning (ML) platforms for data scientists, but if we don't bring business developers on board, ML and Artificial Intelligence (AI) just won't ...

The most BCI systems that rely on EEG signals employ Fourier based methods for time-frequency decomposition for feature extraction. The band-limited multiple Fourier linear combiner is well-suited for ...