Research Directions in ML
Andrew shares his vision for future research, emphasizing the importance of understanding the key drivers behind machine learning models in production. He expresses a desire to collaborate with industry and domain experts, highlighting the need for a synergy between academic research and real-world applications. The conversation underscores the dynamic nature of machine learning and the challenges faced in both academia and industry.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)
Related Questions
What else should I do to reach my goal of working abroad in leading tech companies and becoming a prominent figure in the field of machine learning, considering I am in my final year of the AI department in college in Egypt and currently taking a deep learning course by Andrew Ng?
I am in my final year of the AI department in college in Egypt, and I want to excel in the field. I am currently taking a deep learning course by Andrew Ng. What else should I do to reach my goal of working abroad in leading tech companies and becoming a prominent figure in the field?
Are you interested in reaching out to industry?