AWS Chalice - A Python Serverless Microframework for AWS Requirements: To use AWS Chalice, you will need A Python development environment. An AWS account Let's take a brief look. Technical Skills: Python proficiency: Chalice is built for Python applications, so
Introduction: The landscape of data-driven decision-making in enterprises has evolved, demanding powerful and scalable solutions for data visualization and analysis. Shiny, a web application framework for R, has been instrumental in prototyping and deploying interactive applications. However, as
In the ever-evolving landscape of data science and analytics, the demand for interactive and dynamic data visualisation has grown exponentially. The Shiny framework for R has emerged as a powerful tool, allowing users to transform their static analyses
Introduction In the realm of computer science, algorithms are the heartbeats of problem-solving. But beyond their individual designs, there's a broader concept that shapes their development and implementation: algorithm paradigms. These paradigms are not just a collection of
Firstly, We need to understand what is Yolo used for? A groundbreaking algorithm that is used to detects objects in real-time. So, let’s understand what is Object Detection? Object Detection - Object detection, a fundamental task in computer
Snowflake and Apache Druid Reporting Data Warehouses and Real-Time Analytics Databases have unique objectives and notable traits. Selecting the appropriate tool that aligns with your specific requirements is essential for accomplishing successful outcomes in your data projects.
What is object detection? Object detection is a computer vision technique that involves identifying and locating specific objects within images or video streams. It goes beyond simple image classification by not only recognizing objects but also outlining
Why dimensionality reduction ? Dimensionality reduction is a technique used in machine learning and data analysis to reduce the number of input variables or features in a dataset while retaining the most important information. The process involves transforming
KEYS MySQL is a relational database, and in a relational database, a key is defined as a column or a group of columns which are used to uniquely locate records in a table of a Relational Database.
Introduction to Docker Docker is an open-source platform that allows developers to easily create, deploy, and run applications in containers. A container is a lightweight, standalone executable package of software that includes everything needed to run the
Database Normalization is the process of organizing a relational database in accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity. It was first proposed
MySQL privileges: Refer to the rights or permissions that are granted to a user account or role to access and manipulate database objects such as tables, views, and stored procedures. Privileges determine what actions a user can
Reading huge documents can be very tiring and very time taking. You must have seen many software or applications where you just click a picture and get key information from the document. This is done by a technique
Accuracy of Tesseract OCR in Java What is OCR? OCR stands for "Optical Character Recognition". It is a technology that recognizes text within a image. It is commonly used to recognize text in scanned documents and images. OCR
Probably you have heard the term Video Analytics many times around you. But when it comes to know more about it, you would probably end up falling into a framework promotion blog or service provider's space. So, let's
What is ONNX? ONNX(Open Neural Network Exchange) defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with
National Highways Authority of India (NHAI) is a Central Authority to develop, maintain and manage the National Highways entrusted to it by the Government of India. Currently NHAI has 720+ toll plazas on different national highways under their
Recommendation engines are everywhere these days. In fact, some of the biggest brands we engage with every day are built around one, including Netflix, Amazon, Google, and Goodreads. Thirty-five percent of purchases on Amazon come from product recommendations.
When it comes to machine learning, there are tons of content available on internet. Sometimes it is really useful but sometimes it becomes hard to create the right path by taking each of them in consideration. In this
Model Based Collaborative Filtering: Model based collaborative approaches only rely on user-item interactions information and assume a latent model supposed to explain these interactions. For example, matrix factorization algorithms consists in decomposing the huge and sparse user-item interaction