Join our engaging session on "Introduction to Recommendation Systems" and dive into the fundamentals of building personalized recommendation engines. Discover how these systems work behind the scenes to suggest products, movies, or content tailored to individual preferences. We'll explore various algorithms, from collaborative filtering to content-based methods, and examine real-world applications that drive user engagement and business growth. Whether you're a beginner or looking to enhance your skills, this session offers valuable insights to advance your understanding and practical knowledge.

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Agenda for the session

  • Introduction to recommendation systems
  • Importance of recommendation systems across industries
  • MIT PE's No Code AI & Machine Learning Program
  • Live Q&A

About Speakers

Joel Kowalewski

CTO, AI Scientist, Sensorygen, Inc.

A seasoned AI scientist, Joel Kowalewski, CTO at Sensorygen, has expertise in developing AI technologies that augment scientific research. With a Ph.D. in Neuroscience, Joel has authored numerous research studies and developed analytical models alongside AI approaches to facilitate qualitative research in biomedical science

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.

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