Dear Readers,
We are happy to bring you yet another exciting ‘The DataHour’ session for you! Yup, you heard it right! The DataHour Series brings Ria to conduct a webinar on Text-Based Classification using Artificial Intelligence. We hope, you’re excited and eager to learn new things that we have planned for you all.
Date: 12th April 2022
Time: 7:00pm to 8:00pm IST
Topic: Text-Based Classification using Artificial Intelligence
REGISTER FOR FREE NOW!
About the Webinar
One of the widely used Natural Language Processing tasks in different business problems is “Text Classification”. Text classification is a Machine Learning technique that assigns a set of predefined categories to open-ended text. It is widely used in various tasks such as understanding audience sentiment from social media, detection of spam emails, auto-tagging of customer queries, etc.
In this DataHour session, Ria will discuss what are the different types of AI-based text classification systems along with their advantages, disadvantages, and applications. She’ll also be presenting one of her recent papers on text-based classification: Application of Machine Learning to Identify Health and safety risks (Lattice journal, Volume-3, Issue-1 (January – March 2022)
Prerequisites: Enthusiasm for learning Natural Language Processing!
Who is this for?
- Students & Freshers who want to build a career in Data Science
- Working professionals who want to transition to a data science career
- Data science professionals who want to accelerate their career growth
Why is this Important for Data Scientists?
Suppose you are aiming to build a career in Data Science. You will have adequate knowledge of the field by attending this session. Artificial Intelligence is booming and one of the hottest topics in the Data Science industry; you will learn about the different types of AI-based text classification systems along with their advantages, disadvantages, and applications. If you’re attending this session and have some prior questions with respect to this topic, please send them to us at [email protected] or you could ask directly during the session.
Speaker
Ria Nag
Lead Data Science Expert
Ria is a leader and a mentor in the field of Data Science and Machine Learning. She had been working at Oracle for the past 3 years until March 31st, 2022, driving end to end development and launch of Oracle Construction Intelligence Cloud Service, a new suite of artificial intelligence (AI) and analytics applications to enable informed project decisions in the engineering and construction industry.
She has earned her thesis-based Master’s degree in Bioengineering from the University of Hawaii at Manoa and has worked at WaferGen Biosystems and Biocon Bristol Myers Squibb Research & Development Center, prior to joining Oracle.
She is passionate about leveraging the power of data science and machine learning to enable end-users to take practical and actionable decisions. She has multiple US patents in the field of Machine learning and NLP. She has also been the recipient of Analytics India Magazine’s 40 under 40 data scientist award.
Conclusion
I hope you’re excited to attend this DataHour session with us. Ria will share her personal experiences as to how her journey has been as a leader and mentor in the field of Data Science and Machine Learning.
Grab this fantastic opportunity by registering here for the DataHour Webinar. If you’re attending this session and have some prior questions with respect to this topic, please send them to us at [email protected] or you could ask directly to the speaker during the session.
If you missed our previously conducted ‘The DataHour’ series, head to our YouTube Channel and check out the recordings.
Do you wish to conduct a webinar? Or facing difficulty in registering, connect with us at [email protected].
I am a passionate writer and avid reader who finds joy in weaving stories through the lens of data analytics and visualization. With a knack for blending creativity with numbers, I transform complex datasets into compelling narratives. Whether it's writing insightful blogs or crafting visual stories from data, I navigate both worlds with ease and enthusiasm.
A lover of both chai and coffee, I believe the right brew sparks creativity and sharpens focus—fueling my journey in the ever-evolving field of analytics. For me, every dataset holds a story, and I am always on a quest to uncover it.
