Rajiv Shah is conducting an interactive DataHour with us. He works as a machine learning engineer for Hugging Face, where his main goal is to help teams use AI to succeed. He previously oversaw DataRobot’s efforts to allow hundreds of data scientists. He is a well-known AI speaker who has also written academic articles and been granted patents in various fields, including deep learning, interpretability, and sports analytics. He graduated from the University of Illinois at Urbana-Champaign with a PhD and a J.D. He will explain about Building AI applications in minutes. So, Register Now! What are you waiting for?
Anyone can rapidly create cutting-edge machine learning models using the open-source transformers programme. These programmes can use text, audio, photos, and other media. Construction of some of these in real-time is now possible.
Evaluation of your model comes next after having the pipeline. Also, a methodology for assessing your models is followed so you can have confidence in them and spot any biases they may have.
In this DataHour, Join Rajiv Shah in explaining the building of AI applications in minutes and discussing a framework for evaluating models.
Rajiv Shah previously oversaw DataRobot’s efforts to allow hundreds of data scientists. Additionally, he contributed to data science teams at State Farm, Snorkel AI, and Caterpillar.
Rajiv is a well-known AI speaker who has also written academic articles and been granted patents in various fields, including deep learning, interpretability, and sports analytics. He graduated from the University of Illinois at Urbana-Champaign with a PhD and a J.D.
The desire to learn Data Science.
Drop us an email at [email protected], or you can chat with the speaker directly during the session.
To take advantage of this fantastic opportunity. Register for this DataHour here.
If you missed any of the past episodes of “The DataHour,” you may watch the recordings on our YouTube channel. You can read a summary of previous DataHour sessions on our blog by clicking here.
If you’re having trouble enrolling or would like to conduct a session with us. Contact us at [email protected].
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