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Sculpting Data for Machine Learning

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Justin G.
Sculpting Data for Machine Learning

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In the contemporary world of Artificial Intelligence and Machine Learning, data is the new oil. For Machine Learning algorithms to work their magic, it is imperative to lay a firm foundation with relevant data. Sculpting Data for ML introduces the readers to the first act of Machine Learning, Dataset Curation.

This month we are joined by Jigyasa Grover, a Machine Learning Engineer working at Twitter in San Francisco to discuss:

  • Significance of data in Machine Learning
  • Identification of relevant data signals
  • End-to-end process of data collection and dataset construction
  • Overview of extraction tools like BeautifulSoup and Selenium
  • Step-by-step guide with Python code examples of real-world use cases
  • Synopsis of Data Preprocessing and Feature Engineering techniques
  • Introduction to Machine Learning paradigms from a data perspective

Jigyasa has the honor of being recognized as one of the Google Developer Experts in the Machine Learning domain. She recently co-authored a book titled Sculpting Data for ML: The first act of Machine Learning which is a culmination of her myriad of experiences from brief stints at Facebook, Inc., National Research Council of Canada, and Institute of Research & Development France involving Data Science, mathematical modeling, and software engineering.

Having graduated from the University of California, San Diego, with a Master’s degree in Computer Science with an Artificial Intelligence specialization, Jigyasa is presently applying her past experiences and knowledge towards Applied Machine Learning in the online advertisements prediction and ranking domain.

A Red Hat 'Women in Open Source' Academic Award Winner and Google Summer of Code alumna, Jigyasa is an ardent open-source contributor as well. She served as the Director of Women Who Code and Lead of Women Techmakers for a handful of years to help bridge the gender gap in technology. In her quest to build a powerful community of girls and boys alike, and believing in "we rise by lifting others", she mentors aspiring developers and Machine Learning enthusiasts in various global programs.

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