Ever wondered how Netflix, Amazon, and Spotify always seem to know what you’ll love next? Join our webinar, "Getting Started with Recommendation Systems," where we’ll demystify the algorithms that power personalized recommendations.

Learn how recommendation engines analyze user behavior, personalize content, and drive engagement across industries. We’ll explore key algorithms, real-world applications, and simple ways to start building recommendation models. Whether you're new to data science or looking to expand your AI knowledge, this session will provide you with valuable insights.

Webinar Registration

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Agenda for the session

  • How Recommendation Algorithms Work
  • Building a Simple Recommendation Model
  • No Code AI and Machine Learning Program by MIT Professional Education
  • Live Q&A

About Speakers

Nitin Sethi

Associate Manager - Analytics, Rio Tinto

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 Senior Advisor at Rio Tinto, Nitin has extensive experience using analytics and data science to solve problems across various industries.

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.