Our insightful blogs

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

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

Face Recognition Recognize and manipulate faces from Python or from the command line with the world’s simplest face recognition library. Built using dlib’s state-of-the-art face recognition built with deep learning. The

Alternating Least Square (ALS) is also a matrix factorization algorithm and it runs itself in a parallel fashion. ALS is implemented in Apache Spark ML and built for a larger-scale

Detecting the parking slot occupancy can help us by providing the exact location of the place which is empty for parking and save our time. For this purpose, we can

As mobile developers, we spend most of our time creating new screens or changing screens that already exist and we need to know that the code works. That is why

There are some points where we have to maintain settings for multiple environments. Django provides a very useful solution, to maintain multiple settings in a single file. For that you

It is an automated process i.e. deploy an application on AWS EC2 Instance every time when you push the code in application bitbucket repository. This can be achieved by combining