Transitioning to ML
Transitioning into machine learning is a lengthy journey that requires motivation and a solid understanding of the fundamentals. For those with years of experience in software engineering, it's crucial to set realistic expectations and invest time in mastering mathematical concepts. Engaging in structured master's programs and participating in Kaggle competitions can provide valuable hands-on experience and enhance learning.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Mircea Neagovici — Robotic Process Automation (RPA) and ML
Related Questions
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?
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?
Do you have any advice for your younger self or someone that wants to make this transition?