Unstructured Data

Overview Learn how to build your own ball tracking system for cricket using computer vision and Python We will discuss different approaches for tracking …

Introduction “Efficiency is doing things right. Effectiveness is doing the right thing.” – Zig Zagler As data scientists, we are often taught to be …

Introduction spaCy is my go-to library for Natural Language Processing (NLP) tasks. I’d venture to say that’s the case for the majority of NLP …

Learn about deploying deep learning models using TensorFlow Serving How to handle post-deployment challenges like swapping between different versions of models using TensorFlow Serving …

The Challenge of Making Machines Understand Text “Language is a wonderful medium of communication” You and I would have understood that sentence in a …

Overview What are autoencoders? How do autoencoders work? This article will answer your questions We will explore the concept of autoencoders using a case …

Overview What is sports analytics? What are the different use cases of sports analytics? We answer these questions here Understand how sports analytics can …

Overview This article dives into the key question – is class sensitivity in a classification problem model-dependent? The authors analyze four popular deep learning …

Introduction Did you know that the Indian cricket team relies heavily on data analytics to decide their strategy for an upcoming match? Batsmen are …

Overview Learn how to perform text classification using PyTorch Understand the key points involved while solving text classification Learn to use Pack Padding feature …