DataHour: Building AI Applications in Minutes

Online 21-07-2022 07:00 PM to 21-07-2022 08:00 PM
  • 7100


  • Knowledge and Learning


DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

By taking advantage of the open-source transformers package, anyone can quickly build state-of-the-art machine learning models. These applications can use text, audio, images, and more. In this DataHour, we are going to build some of these live! Also, Rajiv will provide Google Collab notebooks, so you can build these applications live during the session.

After you have the pipeline, the next step is evaluating your model. Rajiv walks you through a framework for evaluating your models, so you can trust your model and identify possible biases. Finally, we will add a web interface to our model so anyone can use it. 

Prerequisites: Enthusiasm for learning Data Science. 

Who is this DataHour for?

  • Students and Freshers with an interest in Data Science and Deep Learning.
  • Data science professionals who want to accelerate their career growth.


Rajiv Shah

Machine Learning Solutions Engineer at Hugging Face

Rajiv Shah is a machine learning engineer at Hugging Face, where his primary focus is on enabling teams to achieve success with AI. Previously, he led data science enablement efforts across hundreds of data scientists at DataRobot. He was also a part of data science teams at Snorkel AI, Caterpillar, and State Farm.

Rajiv is a widely recognized speaker on AI, published research papers, and received patents in many domains, including sports analytics, deep learning, and interpretability.  He received a Ph.D. and a J.D. from the University of Illinois at Urbana Champaign.

You can follow him on Linkedin and Twitter.


Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest



We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.


We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.