Pedro Domingos A Leading Figure in Data Science

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An artist’s illustration of artificial intelligence (AI). This image represents how machine learning is inspired by neuroscience and the human brain. It was created by Novoto Studio as par...
Credit: pexels.com, An artist’s illustration of artificial intelligence (AI). This image represents how machine learning is inspired by neuroscience and the human brain. It was created by Novoto Studio as par...

Pedro Domingos is a leading figure in data science, a field that has revolutionized the way we understand and interact with data. He is a professor of computer science at the University of Washington.

Domingos has written a book, "The Master Algorithm", which explores the idea that all knowledge can be encoded in a single algorithm. He argues that this algorithm would be able to learn and make predictions in a wide range of domains.

Domingos' work has been recognized with numerous awards, including the ACM SIGKDD Innovation Award and the IEEE ICDM Service Award. These accolades are a testament to his groundbreaking contributions to the field of data science.

As a prominent figure in data science, Domingos has given talks and lectures on various topics, including machine learning and artificial intelligence. His expertise and insights have been sought after by researchers and industry professionals alike.

Education and Teaching

Pedro Domingos received his undergraduate degree and Master of Science degree from Instituto Superior Técnico (IST).

Credit: youtube.com, #042 - Prof Pedro Domingos

He then moved to the University of California, Irvine, where he received a Master of Science degree and PhD.

Domingos has taught a variety of courses, including Statistical Methods in Computer Science, PMP Data Mining, Machine Learning, Artificial Intelligence I and II, and Foundations of Computing II.

He has taught these courses at the University of California, Irvine, since 2000, and has also taught at Carnegie Mellon University.

Here is a list of some of the courses he has taught:

  • Spring 2004: Statistical Methods in Computer Science (CSE 590ST)
  • Autumn 2003: Data Mining (CSE 546)
  • Spring 2003: PMP Data Mining (CSEP 546)
  • Autumn 2002: Introduction to Artificial Intelligence (CSE 473)
  • Spring 2002: Introduction to Artificial Intelligence (CSE 473)
  • Autumn 2001: Data Mining (CSE 546)
  • Spring 2001: Applications of Artificial Intelligence (CSE 592)
  • Winter 2001: Machine Learning and Data Mining (CSE 590PD)
  • Autumn 2000: Introduction to Artificial Intelligence (CSE 473)
  • Spring 2000: Introduction to Artificial Intelligence (CSE 473)
  • Winter 2000: Artificial Intelligence II (CSE 574)
  • Autumn 1999: Artificial Intelligence I (CSE 573)

Domingos has been teaching for over two decades, and has taught a wide range of courses in computer science and related fields.

Publications

Pedro Domingos has written several books, including "The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World" in 2015.

He has also published articles in reputable publications like Scientific American, where he wrote "Our Digital Doubles: AI will serve our species, not control it" in 2018. In this article, he highlights the limitations of AI, stating that AIs lack common sense and can easily make errors.

Credit: youtube.com, Pedro Domingos - Author - The Master Algorithm - 2040: A Silicon Valley Satire

Domingos' book "2040: A Silicon Valley Satire" was published in 2024.

Here are some of his notable publications:

  • "The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World" (2015)
  • "Our Digital Doubles: AI will serve our species, not control it" (Scientific American, 2018)
  • "2040: A Silicon Valley Satire" (2024)

2014 Sigkdd Innovation Award

In 2014, Pedro Domingos received the ACM SIGKDD Innovation Award.

This prestigious award recognized his foundational research in data stream analysis, cost-sensitive classification, adversarial learning, and Markov logic networks, as well as applications in viral marketing and information integration.

Here are some of the key areas where his work made a significant impact:

  • Data stream analysis
  • Cost-sensitive classification
  • Adversarial learning
  • Markov logic networks
  • Viral marketing
  • Information integration

Selected Essays

Pedro Domingos is a renowned expert in the field of artificial intelligence, and his writings on the subject are a treasure trove of insights and ideas.

He has been writing about AI for over two decades, with his first book, A Unified Approach to Concept Learning, published in 1997 as part of his Ph.D. dissertation.

Domingos has also published several books on AI, including The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World in 2015, and 2040: A Silicon Valley Satire in 2024.

Broaden your view: Andrew Ng Ml Coursera

Credit: youtube.com, Pedro Domingos is the AI expert urging us to calm down l The InnerView

In addition to his books, Domingos has written numerous essays on AI, which have been published in various online platforms and magazines.

Some of his notable essays include "There's Only One Good Way to Regulate AI" and "Is AI a Danger to Democracy?", both published in 2024.

Here are some of his notable essays, grouped by year:

  • There's Only One Good Way to Regulate AI.
  • Is AI a Danger to Democracy?
  • AI's Greatest Risk Is Not Having Enough of It.

2023: No, the AI Sky Isn't Falling.2022: Pay Researchers for Results, Not Plans.2021: Beating Back Cancel Culture.2020: Stop the Politicization of AI.2018: Artificial Intelligence Will Serve Humans, Not Enslave Them.2016:

  • How Not to Regulate the Data Economy.
  • Ten Myths About Machine Learning.
  • The Race for the Master Algorithm Has Begun.
  • The Business Opportunity of the Century.
  • A Mystery in the Machine.
  • How to Train Your AI.
  • Get Ready for Your Digital Model.
  • Five Profound Ways that AI Will Change the Way You Live.
  • Solving AI: We Need a New Language for Artificial Intelligence.

2009: Solving AI: We Need a New Language for Artificial Intelligence.

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