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
- No Code AI and Machine Learning Program by MIT Professional Education
- Live Q&A
About Speakers
Anjana Agrawal
Entrepreneur | IoT, Big Data, Business Analytics & IT/Operations Consultant
Anjana is an experienced strategist and data mining expert with over three decades of experience, and excels in advanced statistical modeling for Big Data using Python, R, and other cutting-edge tools. A top-ranked 'Kaggler' and Social Media evangelist, she specializes in NLP and text mining. With a track record of leading multimillion-dollar programs across industries, she continues to drive innovation and excellence.
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.
