Aleksa Gordić is a Research Engineer at DeepMind and has a background in electronics, mathematics, and algorithms. Aleksa self-taught himself ML and deep learning, which led him to create videos at The AI Epiphany, a YouTube channel that breaks down research papers, code, and everything AI-related. Previously he was a Software/ML Engineer at Microsoft where he directly worked with engineers and Microsoft Researchers from Cambridge and was primarily dealing with Computer Vision, Digital Image Processing, Deep Learning, and Video Encoding.

In this episode, we cover optimized learning strategies, the educational system, and how Aleksa self-taught himself ML.

Takeaways:

• Be consistent with what you want to achieve.
• Explore and learn about various topics—don’t specialize too soon.
• After exploring, pick a topic to specialize in and obsess over being an expert in that field.