Fireside chat with Zach Deane-Mayer: On data science, GPT-3 and automated machine learning

Key Takeaways:
  • What are the data science and machine learning use-cases that have driven the most value for organizations?
  • What are the most promising use-cases for exciting language models like GPT-3?
  • The rise of automated machine learning and the evolution of the data scientist's skill set.
Thursday, December 3 at 11 AM ET

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Description

Data science and machine learning have fundamentally changed how we make decisions, build products, and automate workflows and processes. In this fireside chat, Zach Deane-Mayer, Vice President of Data Science at DataRobot, will walk us through the use-cases where data science and machine learning have driven the most value for organizations. He will also share his insight on new developments in machine learning, like Open-AI's GPT-3 model and the use of deep-learning for tabular data, and comment on the rise of automated machine learning with his work on DataRobot.

Presenter Bio

Zach Deane-Mayer Headshot
Zach Deane-MayerVP of Data Science at DataRobot
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Zach Deane-Mayer is VP of Data Science at DataRobot, where he focuses on automating and operationalizing Data Science. Zach has worked in Data Science for over a decade, both at consulting firms and with start ups. He is also a Kaggle Grandmaster.

Adel Nehme Headshot
Adel NehmeData Evangelist at DataCamp
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Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.