Frontmatter Daniel Godoy, Author of Deep Learning with PyTorch Step-by-Step: A Beginner's Guide
Mar 31, 2022
Daniel Godoy, a Berlin-based data scientist and author, shares his journey from Brazil’s early programming days to a successful career in data science. He recounts how a stochastic simulation paper changed his career trajectory and led him to teach in fintech. The COVID lockdown inspired him to write his book on PyTorch, where he emphasizes the importance of formal education in programming. The discussion also covers deep learning fundamentals, the risks of biased datasets, and the complexities of self-driving cars, showcasing his passion for teaching and knowledge sharing.
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Transcript
From Code Kid To Data Scientist
- Daniel described how a stochastic-simulation paper he wrote at the Treasury won a national award and launched his data-science career.
- That recognition, media coverage, and curiosity pushed him to pursue data analysis and teaching full-time.
Berlin Bootcamp Shifted His Path
- Daniel recounted moving to Berlin after joining Data Science Retreat and quickly finding a fintech job within months.
- He then started teaching at the bootcamp and discovered a passion for explaining concepts to newcomers.
Prefer Degrees For Structured Learning
- Daniel recommends formal degrees for structure and curated curricula even though online resources exist.
- He argues institutional commitments help organize study and expose learners to topics they might otherwise skip.
