Alice Zheng
Alice is a technical leader in the field of machine learning. Her experience spans algorithm and platform development and applications. Currently, she is a Senior Manager in Amazon's Ad Platform. Previous roles include Director of Data Science at GraphLab/Dato/Turi, machine learning researcher at Microsoft Research, Redmond, and postdoctoral fellow at Carnegie Mellon University. She received a Ph.D. in Electrical Engineering and Computer science, and B.A. degrees in Computer Science in Mathematics, all from U.C. Berkeley.
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Vaclav Smil
Vaclav Smil is a Czech-Canadian scientist and policy analyst whose work spans energy, environment, food, population, economics, history, and public policy. Educated at Charles University in Prague and later at Pennsylvania State University, where he earned his Ph.D. in geography, Smil emigrated from Czechoslovakia to the United States in 1969 following the Soviet invasion, before beginning his long academic career at the University of Manitoba in 1972. Over the decades he established himself as a leading voice on global energy systems, environmental change, and economic development, with particular attention to China. Smil has consistently argued that transitions to renewable energy will be gradual rather than rapid, emphasizing the persist
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David J. Hand
David J. Hand is Senior Research Investigator and Emeritus Professor of Mathematics at Imperial College, London, and Chief Scientific Advisor to Winton Capital Management. He is a Fellow of the British Academy, and a recipient of the Guy Medal of the Royal Statistical Society. He has served (twice) as President of the Royal Statistical Society, and is on the Board of the UK Statistics Authority. He has published 300 scientific papers and 25 books: his next book, The Improbability Principle, is due out in February 2014. He has broad research interests in areas including classification, data mining, anomaly detection, and the foundations of statistics. His applications interests include psychology, physics, and the retail credit industry - he
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Jason Brownlee
Jason Brownlee, Ph.D. trained and worked as a research scientist and software engineer for many years (e.g. enterprise, R&D, and scientific computing), and is known online for his work on Computational Intelligence (e.g. Clever Algorithms), Machine Learning and Deep Learning (e.g. Machine Learning Mastery, sold in 2021) and Python Concurrency (e.g. Super Fast Python).
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Jason writes fiction under the pseudonym J.D. Brownlee: https://www.goodreads.com/jdbrownlee -
Greg McKeown
Greg McKeown is a business writer, consultant, and researcher specializing in leadership, strategy design, collective intelligence and human systems. He has authored or co-authored books, including the Wall Street Journal Bestseller, Multipliers: How the Best Leaders Make Everyone Smarter (Harper Business, June 2010), and journal articles.
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Originally from England, he is now an American citizen, living in Southern California. Greg holds a B.A. in Communications (with an emphasis in journalism) from Brigham Young University and an MBA from Stanford University.
The World Economic Forum inducted Greg into the Forum of Young Global Leaders.
Greg is currently CEO of McKeown, Inc., a leadership and strategy design agency. He has taught at companies t -
Benjamín Labatut
Benjamin Labatut was born in Rotterdam, Netherlands. He spent his childhood in The Hague and Buenos Aires and when he was twelve years old he moved to Santiago de Chile, where he lives today.
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La Antártica empieza aquí was his first book, being published in México, where it won Premio Caza de Letras 2009, delivered by Universidad Autónoma de México (UNAM) and Editorial Alfaguara.
His second book is titled Después de la luz, appeared in 2016, published by Editorial Hueders. After a deep personal crisis, Labatut wrote this book, conformed by scientific, historical and filosofical notes about the void.
His third book Un verdor terrible, was published in spanish by Editorial Anagrama and also several countries such Germany, Italy, France, Netherl -
Cathy O'Neil
Cathy O’Neil is the author of the bestselling Weapons of Math Destruction, which won the Euler Book Prize and was longlisted for the National Book Award. She received her PhD in mathematics from Harvard and has worked in finance, tech, and academia. She launched the Lede Program for data journalism at Columbia University and recently founded ORCAA, an algorithmic auditing company. O’Neil is a regular contributor to Bloomberg View.
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Sebastian Raschka
Some of my greatest passions are "Data Science" and machine learning. I enjoy everything that involves working with data: The discovery of interesting patterns and coming up with insightful conclusions using techniques from the fields of data mining and machine learning for predictive modeling.
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I am a big advocate of working in teams and the concept of "open source." In my opinion, it is a positive feedback loop: Sharing ideas and tools that are useful to others and getting constructive feedback that helps us learn!
A little bit more about myself: Currently, I am sharpening my analytical skills as a PhD candidate at Michigan State University where I am currently working on a highly efficient virtual screening software for computer-aided drug- -
François Chollet
François Chollet is a French engineer and researcher in artificial intelligence.
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Chip Huyen
Update: My debut novel, Entanglements That Never End, is scheduled for release later in 2025, with an early edition currently available on Kindle. I had a lot of fun writing this story, and I hope you’ll have fun reading it too!
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I’m Chip Huyen, a writer and computer scientist. I grew up chasing grasshoppers in a small rice-farming village in Vietnam.
I'm interested in AI for storytelling and roleplaying. Previously, I built machine learning tools at NVIDIA and Netflix. I've also founded and sold a company.
I graduated from Stanford, where I taught ML Systems. The lectures became the foundation for the book Designing Machine Learning Systems, which is an Amazon #1 bestseller in AI and has been translated into 10+ languages (very proud)!
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