Practical AI The influence of open source on AI development
Sep 25, 2019
In this discussion, Samuel Taylor—a data scientist at Indeed with a focus on open source tools for machine learning—shares insights on the vital role of open source in AI development. He emphasizes the importance of accessibility and community contributions. Samuel dives into career-building strategies through engaging AI side projects and discusses navigating bias in algorithms. He also highlights popular tools like Jupyter and Scikit-learn, showcasing their impact on ethical AI practices and innovative solutions.
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Early AI Interest
- Samuel Taylor's interest in computers began at a young age, fostered by supportive parents.
- A PBS documentary on machine learning ignited his passion for AI during high school.
Software Engineering Influence
- Samuel Taylor's software engineering background influences his approach to AI, focusing on system-level understanding.
- He bridges the gap between statisticians and software engineers through knowledge sharing.
Indeed's Mission
- Indeed, the world's number one job site, prioritizes helping people find jobs.
- Their search product allows users to filter and refine job searches based on various criteria.