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Jon Krohn      

AI, Machine Learning & Tech Thought Leader; Podcast Host of SuperDataScience; Co-Founder and Chief Data Scientist of Nebula; Bestselling Author of "Deep Learning Illustrated"

Jon Krohn is a co-founder and Chief Data Scientist at Nebula, a cutting-edge machine learning company. He is the author of the bestselling book "Deep Learning Illustrated," which quickly became a #1 bestseller and has been translated into seven languages. Jon is also the host of SuperDataScience, the most listened-to podcast in the data science industry, where he delves into topics related to machine learning, AI, and data science, reaching a global audience of enthusiasts and professionals alike.

Krohn is renowned for his engaging and insightful lectures, which he delivers at prestigious universities such as Columbia and NYU, as well as at major industry conferences. His ability to simplify complex machine learning concepts has garnered him a large following through his award-winning YouTube channel, where his lectures and tutorials continue to educate and inspire a wide audience. His deep knowledge and ability to communicate complex ideas have made him a sought-after speaker and educator in the field.

Jon holds a PhD from Oxford University and has been contributing to the field of machine learning through academic publications since 2010. His research has appeared in prominent journals, reflecting his expertise and innovative approaches to AI and machine learning. With a combination of academic rigor and a passion for making AI accessible to a broader audience, Jon continues to be a leading voice in the rapidly evolving world of data science and machine learning.

Speech Topics


AI Explained

An introduction to artificial intelligence, covering what AI is, how it differs from machine learning and deep learning, and its significance in today’s world.

The Impact of AI on Daily Life

Exploring how AI technologies are embedded in everyday experiences, from smartphone applications to smart home devices, and how they improve convenience, efficiency, and personalization.

Understanding Machine Learning

A beginner's guide to machine learning, explaining how machines learn from data, the basics of algorithms, and simple examples of machine learning in action.

AI Myths vs. Reality

Debunking common myths about AI, providing a realistic perspective on what AI can and cannot do, and addressing common fears and misconceptions.

The Building Blocks of AI

Simplifying the fundamental concepts behind AI, such as algorithms, neural networks, and data sets, and how these elements work together to create intelligent systems.

Ethics & AI

Discussing the ethical considerations in AI development and deployment, including privacy, bias, and the future of work, to highlight the importance of responsible AI.

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AI in Entertainment & Media

Showcasing how AI is used in creating movies, music, video games, and personalized content, making the entertainment industry more innovative and adaptive.

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