Ever wondered how Netflix, Amazon, and Spotify always seem to know what you will love next? In this webinar, we will demystify the algorithms that power personalized recommendations.
Learn how recommendation engines analyze user behavior, personalize content, and drive engagement across industries. We will explore key algorithms, real-world applications, and simple ways to start building recommendation models. Whether you are new to data science or looking to expand your AI knowledge, this session will provide you with valuable insights.
Agenda for the session
- How Recommendation Algorithms Work
- Building a Simple Recommendation Model
- MIT Professional Education's Applied AI and Data Science Program
- Live Q&A
About Speakers
Nitin Sethi
Project Manager - Data Science & AI
Nitin Sethi is a data science and analytics professional with more than 15 years of experience in building advanced analytical models with Python and SPSS. Currently working as a Project Manager - Data Science & AI, Nitin has extensive experience using analytics and data science to solve problems across various industries.
MIT Professional Education's Applied AI and Data Science Program
The Applied AI and Data Science Program curriculum has been carefully crafted by MIT faculty to provide you with the skills, knowledge, and confidence you need to flourish in the industry. By encompassing the most business-relevant technologies, such as AI, Machine Learning, Deep Learning, Recommendation Systems, and more, it prepares you to be an important part of AI and data science efforts at any organization.
