Join our webinar to explore the core concepts of supervised learning and its applications in regression analysis. This session will guide you through fundamental principles, techniques, and real-world use cases. Learn how to build and optimize regression models for predictive analytics. Whether you're new to data science or looking to refresh your skills, this webinar offers valuable insights and practical knowledge to enhance your understanding of supervised learning and regression. Don't miss this chance to interact and learn with fellow data enthusiasts.
Agenda for the session
- Basics of Supervised Learning
- Supervised Learning Use Cases
- MIT IDSS's Data Science and Machine Learning 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 problems.
Data Science and Machine Learning: Making Data-Driven Decisions Program
The Data Science and Machine Learning: Making Data-Driven Decisions 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, and time series.
