Deepak Agarwal, the VP of artificial intelligence (AI) at LinkedIn, answer questions about AI's role at LinkedIn, careers in the field, and the future of the technology.
Overview
Syllabus
Introduction
- Why use artificial intelligence and machine learning?
- How do you define artificial intelligence and machine learning?
- What exactly is deep learning?
- What types of problems are best addressed through AI and machine learning?
- In what ways does LinkedIn use AI?
- How does LinkedIn decide what tasks will be handled by AI?
- What are the risks involved in trusting AI to make recommendations to LinkedIn users?
- What are the main steps to making machine learning work?
- What are some of the hardest things to get right when implementing AI?
- Which AI and ML tools does LinkedIn use?
- What are some of the ethical considerations of working with ML?
- What advice would you give to those starting to develop AI?
- What are the skills needed to have a good foundational understanding of machine learning?
- What do you look for when hiring an AI engineer?
- How was the LinkedIn AI Academy developed?
- What research projects are you working on to make LinkedIn better at leveraging AI?
- What are some of the most challenging questions AI needs to address in the future?
- What are your hopes for the future of AI?
Taught by
Deepak Agarwal