Explore the realm of Natural Language Processing (NLP) powered by Artificial Intelligence in this engaging webinar. Join us to delve into the exciting world of NLP without the need for coding expertise. Discover how cutting-edge No Code Tools are revolutionizing the way we harness AI for NLP applications. Whether you're a beginner or an experienced professional, this webinar will equip you with insights into leveraging AI for NLP effortlessly. Don't miss this opportunity to unlock the potential of NLP through user-friendly tools. Reserve your spot now!
Agenda for the session
- Introduction to NLP and AI
- Exploring No Code Tools
- No Code AI and Machine Learning Program by MIT Professional Education
- Live Q&A
About Speakers
Peyman Hessari
Senior Data Scientist at ATB Financial
Peyman Hessari is a seasoned data science professional who has over 10 years of experience and is currently working as a Senior Data Scientist at ATB Financial. Math and computing are his heart and soul, and he has a long history of teaching data science and machine learning at various universities in South Korea and Canada. His areas of expertise include machine learning, functional programming, statistical modeling, and computational mathematics
No Code AI and Machine Learning Program by MIT Professional Education
Artificial Intelligence and Data Science are now a force to reckon with. AI will boost global GDP to $15.7 trillion by 2030, according to PwC. This makes professionals with AI skills highly valuable to organizations across industries. In order to help you unlock the power of AI in business, 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.
