SDS 549: Engineering Natural Language Models — with Lauren Zhu

In this episode, Glean software engineer and Stanford graduate Lauren Zhu joins us to discuss her role at a fast-growing startup, working on natural language processing projects, and how she remains inspired by pursuing her side passions. In this episode you will learn: • Lauren's experience as a course assistant [5:53] • Stanford's Hacking the Coronavirus Course [11:53] • How do you empower minority groups in AI [19:45] • Lauren on zero-shot multilingual neural machine translation [23:25] • Lauren's work at Glean [27:58] • The Contrary Talent Network [34:30] • The tools Lauren uses at Glean [43:39] • The most important skills to possess as a data scientist [47:29] Additional materials: www.superdatascience.com/549

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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.