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
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
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
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track different sorts of user behavior, such as purchase history, watching habits and browsing activity, in