Building and running a parallel code in C++17, implemented using Khronos CL/SYCL-model specification, on Raspberry Pi IoT boards. — Our Goals… This project provides useful guidelines, tips, and tutorials for building a modern parallel code in C++17/2x0, implemented using CL/SYCL programming model, and running it on the next generation of Raspberry Pi 4B IoT boards, based on the innovative ARM Cortex-A72, Quad-core, 64-bit RISC-V CPUs.

Multinomial naïve Bayes’ implementation in Python 3.8, NumPy and NLTK — Introduction Naïve Bayes — a probabilistic approach for constructing the data classification models. It’s formulated as several methods, widely used as an alternative to the distance-based K-Means clustering and decision tree forests, and deals with probability as the “likelihood” that data belongs to a specific class. …

Take advantage of using the K-Means++ Algorithm for an optimized high-dimensional datasets clustering, implemented in Anaconda Python 3.8.x using the latest Scikit-Learn 0.20, NumPy 3.20.x Matplotlib 3.4.1, visualization of the results, etc. — Introduction Clustering is an essential step in data analysis, widely used for classification, collecting statistics, and acquiring insights in specific domains of knowledge. While performing the clustering it aims to partition datasets into several groups (i.e., clusters), assigning the most similar data to clusters [1,4,6].

In this story, we will discuss how to effectively optimize the performance of large-sized matrices QR factorization by using the Schwarz-Rutishauser algorithm (explained), introducing its implementation in Python 3.9.x and the latest NumPy 1.20.x library… — Introduction The QR decomposition is one of the newest and, probably, most interesting linear algebra operators, having several known applications in many fields of science and engineering. The related research of the QR decomposition methods was held starting at the beginning of the XX century.

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An interesting and helpful reading about using Google Colaboratory notebooks, right from the very beginning. Thanks a lot. :)

A practical guide for maintaining authentication security features for a Node.js web application by using the JSON Web Tokens (JWT), Passport, Express-Sessions Angular.js, And MySQL… — A complete Node.js Web Application Security Project can be downloaded by visiting https://github.com/arthurratz/nodejs_password_auth_jwt Introduction “One of the most important investments that you can make in a system, company, or application is in your security and identity infrastructures.” — Johnathan LeBlanc