Immerse yourself in the foundational principles of AI, Generative AI, and Natural Language Processing (NLP) in our webinar, "Natural Language Processing 101: Transforming Text into Insights". Explore more about conventional NLP and GenAI-powered NLP and its impact on text data analysis. Join us as we explore how NLP is revolutionizing industries and reshaping the future of data-driven decision-making. This is your opportunity to enhance your understanding of NLP, and its applications across various domains, and its transformative potential.
Agenda for the session
- Introduction to NLP, AI and Generative AI
- Explore conventional vs. GenAI-based NLP
- Real-world NLP applications across industries
- Live Q&A
About Speakers
Mr. Matthew Nickens
Senior Manager, Data Science - CarMax
Matt Nickens is an experienced data scientist with over seven years in the industry. He is currently working at CarMax as a Senior Manager, Data Sicence and has also previously worked as the Creator Data Science and Analytics Manager at Meta. He has also worked with The Walt Disney Studios and Twentieth Century Fox.
No Code AI and Machine Learning Program by MIT Professional Education
No-Code AI is the revolutionary technology that empowers anyone, regardless of technical expertise, to build advanced AI-driven solutions effortlessly, democratizing innovation and accelerating digital transformation. Due to the advent of this technology, professionals skilled in the no-code approach are highly valuable to organizations across industries. In order to help you unlock the power of AI without coding, MIT Professional Education offers the No Code AI and Machine Learning: Building Data Science Solutions Program.
In this 12-week program, you will be able to decode the AI landscape by learning the theory and practical applications of supervised and unsupervised learning, time-series analysis, neural networks, recommendation engines, regression, computer vision, and more. With the no-code approach, you will learn to leverage the power of AI and Data Science without having to write a line of code.
