DataHour: Generating Labeled Data through Weak Supervision

About the DataHour:

In many industrial settings, we may end up not having labeled data. Supervised Machine Learning requires labeled data, but it is not easy to obtain labeled data, and creating labeled data requires time and resources. Weak Supervision is an approach to machine learning in which high-level and often noisier sources of supervision are used to create much larger training sets much more quickly than could otherwise be produced by manual supervision (i.e. labeling examples manually, one by one). 

In this DataHour, Bharath will demonstrate step-by-step how to generate labeled data and classify objectionable song lyrics through Natural Language Processing techniques.

Prerequisites: Basic understanding of NLP and interest in learning Data Science.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Note: E-certificates will be provided within 24 - 48 hours of the session only to those who have attended the entire webinar. Please make sure to join the zoom webinar with your correct name and email address to ensure that your certificate is properly credited to you.

Speaker:

Bharath Kumar Bolla

Senior Data Scientist at Salesforce

Bharath Kumar is a seasoned data scientist with over ten years of professional experience in various fields like telecom, marketing, edtech and healthcare. His expertise includes semi-supervised learning and deep learning architectures in NLP and computer vision. At Salesforce, he focuses on product analytics recommendation systems. He received the 40 under 40 Data Scientist award for 2022 and published over ten articles in various journals and conferences.

Connect with Bharath on Linkedin.