44 min
Modern Education & Large Language Models (LLMs) - Luis Serrano | Podcast #113 The Engineered-Mind Podcast | Engineering, AI & Technology
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- Education
📚 Grokking Machine Learning by Luis: https://bit.ly/3TfQKtS
🌍 Cohere LLM University: https://docs.cohere.com/docs/llmuDr. Luis Serrano’s interest in mathematics started in high school when he participated in mathematical olympiads, representing his native Colombia. Later, he completed a bachelor’s and master’s in mathematics at the University of Waterloo.
He then earned a Ph.D. in mathematics (algebraic combinatorics) at the University of Michigan and a postdoctoral fellowship at the University of Quebec at Montreal. He became interested in other topics and decided to leave academia and switch to industry. After working at Google as a machine learning engineer in the YouTube video recommendations team, he decided to pursue his passion for teaching.
He moved to Udacity as the head of artificial and data science content, where he taught several online courses in machine learning, deep learning, AI, and related topics. He then moved to Apple as a machine learning educator.
Dr. Serrano loves learning new things and always found quantum physics and quantum computing fascinating. For this reason, he became a research scientist at Zapata computing, specializing in the intersections between machine learning and quantum computing, quantum neural networks, etc.
He is the author of the book Grokking Machine Learning, in which he explains machine learning in a friendly approachable way, with stories and pictures instead of formulas. Dr. Serrano’s work in quantum artificial intelligence uses physics, linear algebra, probability theory, and combinatorics.
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📚 Grokking Machine Learning by Luis: https://bit.ly/3TfQKtS
🌍 Cohere LLM University: https://docs.cohere.com/docs/llmuDr. Luis Serrano’s interest in mathematics started in high school when he participated in mathematical olympiads, representing his native Colombia. Later, he completed a bachelor’s and master’s in mathematics at the University of Waterloo.
He then earned a Ph.D. in mathematics (algebraic combinatorics) at the University of Michigan and a postdoctoral fellowship at the University of Quebec at Montreal. He became interested in other topics and decided to leave academia and switch to industry. After working at Google as a machine learning engineer in the YouTube video recommendations team, he decided to pursue his passion for teaching.
He moved to Udacity as the head of artificial and data science content, where he taught several online courses in machine learning, deep learning, AI, and related topics. He then moved to Apple as a machine learning educator.
Dr. Serrano loves learning new things and always found quantum physics and quantum computing fascinating. For this reason, he became a research scientist at Zapata computing, specializing in the intersections between machine learning and quantum computing, quantum neural networks, etc.
He is the author of the book Grokking Machine Learning, in which he explains machine learning in a friendly approachable way, with stories and pictures instead of formulas. Dr. Serrano’s work in quantum artificial intelligence uses physics, linear algebra, probability theory, and combinatorics.
—————————————————————————————
🌎 Website: http://jousefmurad.com/
🌎 Technical Marketing for Your Business:
📥 Weekly free science insights newsletter:
🐤 Follow me on Twitter: @jousefm2
📷 Follow me on Instagram: @jousefmrd
44 min