Michael Li and Zachary Glassman offer a nontechnical overview of AI and data science. You’ll learn basic concepts and vocabulary and develop a framework that will allow you to effectively engage with technical experts and utilize their input and analysis for your business’s strategic priorities and decision making. Along the way, Michael and Zachary discuss common techniques and how to apply them in your organization as well as common pitfalls to avoid.
Introduction to AI and data science
Algorithms and techniques
Industry use cases
AI within the organization
Common pitfalls and fallacies in AI and data science
Michael Li is the founder of the Data Incubator, an elite fellowship program that trains and places data scientists and quants with advanced degrees (PhD or masters) into industry roles. Previously, Michael was a data science lead with Foursquare and with Andreessen Horowitz. He holds PhD in math from Princeton University.
Zachary Glassman is a data scientist in residence at the Data Incubator. Zachary has a passion for building data tools and teaching others to use Python. He studied physics and mathematics as an undergraduate at Pomona College and holds a master’s degree in atomic physics from the University of Maryland.
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