Datacast

Episode 47: Math and Machine Learning In Pedestrian Terms with Luis Serrano

Episode Summary

Luis Serrano is a Quantum AI Research Scientist at Zapata Computing. He is the author of the book Grokking Machine Learning and maintains a popular YouTube channel to explain machine learning in pedestrian terms. Luis has previously worked in machine learning at Apple and Google, and at Udacity as the head of content for AI and data science. He has a Ph.D. in mathematics from the University of Michigan, a master's and bachelor's from the University of Waterloo, and worked as a postdoctoral researcher in mathematics at the University of Quebec at Montreal.

Episode Notes

 Show Notes

His Contact Info

His Recommended Resources

Here are the codes for free eBook copies of Luis' book "Grokking Machine Learning": gmldcr-D659, gmldcr-2512, gmldcr-0752, gmldcr-30A2, gmldcr-01E8. Additionally, use the code poddcast19 to receive a 40% discount of all Manning products!

Episode Transcription

Key Takeaways

ON STUDYING MATH AT WATERLOO

ON PURSUING A PH.D. IN MATH AT MICHIGAN

ON DOING A POSTDOC AT MONTREAL

ON TRANSITIONING INTO THE INDUSTRY

ON BUILDING YOUTUBE RECOMMENDATION SYSTEM

ON BELIEVING IN ONLINE EDUCATION

ON CREATING CONTENT FOR UDACITY

ON MAKING YOUTUBE VIDEOS

ON BEING GREAT AT MATH

ON GETTING INTO QUANTUM COMPUTING

ON WRITING “GROKKING MACHINE LEARNING