DataHour: Multi-Objective Optimisation

About the DataHour:

Practical applications of machine learning involves building systems that optimizes one or more objectives. For any solution of moderate complexity, we get confronted with finding optimal tradeoffs between different objectives such as accuracy vs cost, relevance vs revenue, ads vs content etc. 

In this DataHour, Rahul will explain a formal setup to pose the problem of multiple objectives mathematically and solve them through python based optimisers.

Prerequisites: Zeal of learning Data Science and interest in mathematics.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Rahul Agrawal

Senior Director of AI at Sharechat

Rahul is currently working as Senior Director of AI in Sharechat. He has 20+ years of experience in the field of Engineering, Research, Machine learning and Artificial Intelligence and has worked with various top tech companies like microsoft. He is a Computer science graduate from IISc(Indian Institute of Science). He is also an influential speaker and has been a Panel speaker of Adobe and Guest Lecturer in various institutes like IIT’s etc. 

Connect with Rahul at Linkedin