Our insightful blogs

Today when the apparel manufacturing businesses around the world are battling the impact of COVID-19 pandemic the biggest challenge staring at them in the face is how do they ensure

Multiple times we need to build reports to present our data. The Google Data Studio provides a powerful tool to build your own reports with less time and without any

Why Transformers? The problems with long-existing sequence models are long-range dependencies, vanishing and exploding gradient is hard to resolve even batch gradient descent when network is large and deep, a

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