Note: Some images in this blog post are not showing up, please read the same post on medium here. In this post, we are going to learn how to perform facial analysis on a live feed by setting up a serverless video analytics architecture using Amazon Rekognition Video and Amazon Kinesis Video Streams. Use cases:... » read more
In an earlier post, we had described the need for automating the Data Engineering pipeline for Machine Learning based systems. Today, we will expand the scope to setup a fully automated MLOps pipeline using Google Cloud Composer. Cloud Composer Cloud Composer is official defined as a fully managed workflow orchestration service that empowers you to... » read more
Note: Some images in this blog post aren’t showing up, we are working on resolving it. You could view the same post with all images on medium here. https://medium.com/zenofai/face-recognition-app-in-react-native-using-aws-rekognition-c10b188a6413 In this blog we are going to build an app for registering faces and verifying faces using Amazon Rekognition in React Native. Installing dependencies: Let’s go... » read more
A common use case in Machine Learning life cycle is to have access to the latest training data so as to prevent model deterioration. A lot of times data scientists find it cumbersome to manually export data from data sources such as relational databases or NoSQL data stores or even distributed data. This necessitates automating... » read more
In this blog, we are going to learn how to create a simple React Native based Language Translation Android app with Speech to Text and Text to Speech capabilities powered by Google APIs. Installing dependencies: Go to React Native Docs, select React Native CLI Quickstart and select your Development OS and Target OS -> Android,... » read more
What is linear Regression? Wikipedia states – In statistics, linear regression is a linear approach to modeling the relationship between dependent variable and one or more independent variables. Linear regression is a basic and commonly used type of predictive analysis. Back to school math, every straight line can be represented by the equation: y = mx + b, where y is dependent variable... » read more