Dexa/Kyle Polich

Machine Learning Insights

Cheng-tao shares his journey through various companies and the importance of having a diverse set of tools in your machine learning toolbag. He emphasizes the value of showcasing engineering skills practically and offers advice on pursuing a career in machine learning.

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From this podcast
Data Skeptic
Machine Learning Done Wrong
Related Questions
- I have a question about the episode Trustworthy Machine Learning // Kush Varshney // Coffee Sessions #124 and the clip Engineering Pathways. 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?