Rishabh Misra is a Machine Learning Engineer at Twitter, Inc, and co-author of the book Sculpting Data for ML. He developed a passion for identifying and tackling novel and practical problems using Machine Learning during his research internships at the Indian Institute of Technology Madras, which he further explored during his Master’s in Computer Science program at the University of California San Diego.
He combines his past engineering experiences in designing large-scale systems, working at Amazon and Arcesium (a D.E. Shaw company), and research experiences in Applied Machine Learning to develop distributed Machine Learning relevance systems at Twitter.
Kaggle recently ranked him as one of the top 20 dataset contributors, and Deeplearning.ai’s “Natural Language Processing in TensorFlow” course on Coursera used his Sarcasm Detection dataset for teaching purposes.
Sculpting Data for ML is the title of a new book I co-authored with Jigyasa Grover, my colleague at Twitter. Want to learn how to create your very own quality datasets using Python and other open source tools? This is the book to have. It’s available at Amazon.
Sculpting Data for Machine Learning is the title of a workshop I’ll conduct with my colleague Jigyasa Grover on Feb. 10, during Algorithm 2022. Click the button for workshop info.
Registration for workshop and for the conference itself is now open. The workshop has a limited number of tickets, so hurry and register if you want to guarantee yourself a spot. To reserve your ticket(s), click on that big red button.
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