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 IDSS' AI and Data Science Program
- Live Q&A
About Speakers
Angel Das
Senior Consultant, IQVIA Asia Pacific
Angel Das is an advanced analytics professional who helps companies find solutions for various problems through a mix of business, technology, and math on organizational data. He has experience establishing relationships with Fortune 500 clients in a white box and collaborative manner to improve the art of problem-solving for constantly shifting and ill-defined business problem.
AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program
The AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program Program has a curriculum carefully crafted by MIT faculty to provide you with the skills and knowledge to apply AI and data science techniques to help you make AI-driven decisions.
This AI and data science program has been designed for the needs of professionals looking to grow their careers and enhance their AI and data science skills to solve complex business problems. In a relatively short period of time, the program aims to build your understanding of most industry-relevant technologies today such as machine learning, deep learning, network analytics, recommendation systems.
