A step-by-step guide to use Whisper Models with real-time speech to text conversion on Apple Silicon machine on-prem Introduction Artificial intelligence has made significant strides in the field of speech recognition, enabling machines to transcribe spoken language with remarkable accuracy. OpenAI’s Whisper Speech-to-Text model has emerged as a cutting-edge solution, pushing…

Training an Image Classification Model on Azure without storing data on-prem using Dagshub Direct Data Access and Azure ML SDK Introduction Machine Learning and Artificial Intelligence have become ubiquitous and one of the key skills of a Data Scientist is to be able to build models that are scalable, deal with…

Evaluation of how Zero-Shot Learning can help in detecting Aspects in Reviews without using Labelled Data One of the major sources of understanding customer needs and challenges for any business is customer reviews. …

Introduction to MLOps using AzureML SDK — Taking a Machine Learning project to production involves multiple components — Data Engineering, DevOps, and Machine Learning. The intersection of these components is MLOps. …

All Knowledge is Connected. One of the things, I realised early in my journey as a Data Analyst was that new concepts are learnt more easily when mapped to concepts you already are familiar with. So when I started learning about Machine Learning in Graphs — it was but natural…

The only constant rule about this world is it is always changing and to survive you need to be growing and adapting to the changing world. “CHANGE” is how I would describe my journey in Analytics so far. I started as an Analyst in 2017 and today I am a…

Recommendation systems are the key building blocks of companies like Amazon, Flipkart, Netflix, Facebook etc. The goal of a recommendation system is to recommend items to predict the possibility that a user would favour an item based on their prior interaction with the system. …

In the world of Natural Language Processing (NLP), the most basic models are based on Bag of Words. But such models fail to capture the syntactic relations between words. For example, suppose we build a sentiment analyser based on only Bag of Words. Such a model will not be able…

Model Evaluation, Model Tuning — Welcome to part two of the predicting taxi fare using machine learning series! This is a unique challenge, wouldn’t you say? We take cab rides on a regular basis (sometimes even daily!), and yet when we’re hitting that ‘Book now’ button, we rely on manual on-the-fly calculations rather than hardcore…