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 … Read more “Role based embedded reports in data studio”
Context Based QnA Using Google’s State Of Art -PreTrained BERT
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 … Read more “Context Based QnA Using Google’s State Of Art -PreTrained BERT”
Recommendation System Using Matrix Factorization
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 … Read more “Recommendation System Using Matrix Factorization”
Recommendation System using kNN
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 … Read more “Recommendation System using kNN”
Face Recognition Using dlib’s State Of Art ‘face_recognition’
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 … Read more “Face Recognition Using dlib’s State Of Art ‘face_recognition’”
Recommendation System Using Alternating Least Square
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 … Read more “Recommendation System Using Alternating Least Square”
Parking Slot Detection using MaskRCNN
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. … Read more “Parking Slot Detection using MaskRCNN”