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This article will introduce the reader to the COCO dataset. We will also implement a simple dataset validator using Python.
This article will introduce the reader to PASCAL VOC dataset. We will also implement a simple dataset validator using Python.
In this article, we will cover the basics of a supervised machine learning algorithm called K-Nearest Neighbors. We will also learn to build this algorithm from scratch.
Introduction to IoT deployment with Adafruit IO. In this article, we have covered the basics of IoT and cloud computing. We will also build a simple project for better understanding.
An introduction to various built-in data structures in Java and a comparison on how it differs from user-defined data structures.
Introduction to CRISP-DM methodology and a tutorial on how to use this methhod to build successful data science projects and we will anaylze examples.
This tutorial will serve as an introduction on deploying Machine Learning models using Flask. We will go through various steps for building an end-to-end web application with inbuilt Machine Learning model using Flask.
A tutorial that introduces microcontrollers, NodeMCU, and how it can be used in IoT. Microcontrollers come with different configurations and architectures depending on the application it is used for.
This tutorial will serve as an introduction on building XML webpages using XSLT. We will go through what XSLT is, how webpages are rendered, and how to build a sample XML webpage using XSLT.
— Technical, Security, Deep Learning
Introduction to Secured Deep Learning and a tutorial on how to build your privacy preserving deep learning model to be deployed in remote devices.
A tutorial on validating XML using XSD, how it is different from DTD and we will validate a sample XML document using XSD.
A tutorial on introduction to XML, the need for XML validation, and how validation is done using DTD.
Introduction to differential privacy and methods used to preserve privacy in databases.