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    Cover of The Master Algorithm

    The Master Algorithm

    Pedro Domingos · 2015

    In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

    AI & Machine Learning
    Open LibraryAmazon
    Stats for nerds
    23recommend
    54mentions
    40people
    2015–2024years
    56% recommend41% neutral4% critical

    Mentions per year

    2015201620172018201920202021202220232024

    What Hacker News says

    1. max_Jan 2024
      The best books I would recommend are;

      — The Master Algorithm by Pedro Domingos

      — The Book of Why by Judea Pearl

      — What Computers Still Can't Do by Hubert L. Dreyfus

      — Society of Mind & The Emotion Machine by Marvin Minsky

      — The Feeling Of What Happens by Antonio Damasio

      — Language & Mind by Noam Chomsky

      — A great mooc is also, the "Learning From Data" Telecourse from Caltech https://work.caltech.edu/telecourse

      thread
    2. kavaivaleriDec 2023
      Classics

      - Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

      - The Book of Why: The New Science of Cause and Effect by Judea Pearl, Dana Mackenzie

      - Designing Machine Learning Systems by Chip Huyen

      - The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World by Pedro Domingo

      Fresh look (books published in 2023)

      - The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI by Fei-Fei Li

      - The Coming Wave by Mustafa Suleyman and Michael Bhaskar

      - Understanding Deep Learning by Simon J. D. Prince

      History of Artificial Intelligence and Machine Learning

      - The Turing Guide by Jack Copeland, Jonathan Bowen, Mark Sprevak, Robin Wilson

      - The Quest for Artificial Intelligence: A History of Ideas and Achievements by Nils. J Nilsson

      - Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence by Pamela McCorduck

      AI and Future Studies

      - The Year in Tech, 2023: The Insights You Need from Harvard Business Review (HBR Insights Series) by Harvard Business Review, Beena Ammanath, Andrew Ng, Michael Luca, and Bhaskar Ghosh

      - AI 2041: Ten Visions for Our Future by Kai-Fu Lee and Chen Qiufan

      - The Age of AI: And Our Human Future by Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher

      AI ethics collection

      - AI: Its nature and future by Margaret Boden

      - AI Ethics by Mark Coeckelbergh

      - The Costs of Connection: How Data Is Colonizing Human Life and Appropriating It for Capitalism by Nick Couldry, Ulises Mejias

      - Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford

      Lastly, a fire-side list of books written completely using AI

      - Aum Golly: Poems on Humanity by an Artificial Intelligence by Jukka Aalho

      - Aum Golly 2: Illustrated Poems on Humanity by Artificial Intelligence by Jukka Aalho

      - 1 the Road by Ross Goodwin

      - The Inner Life of an AI: A Memoir by ChatGPT by Forrest Xiao

      - Bob The Robot: Exploring the Universe - A Cozy Bedtime Story Produced by Artificial Intelligence by Olle Green

      - (Fun!) 50 Ways AI Would End The World: Written by AI by Rob Knott

      Find links and descriptions at https://www.turingpost.com/p/books2023

      thread
    3. csw-001Sep 2023
      So the closest I’ve come to a digestible attempt at an answer to “how do we get to general AI” and “what might it look like” is The Master Algorithm by Pedro Domingos. I found it to be really helpful tour of existing AI with an eye towards our (maybe?) general AI future.
      thread
    4. hrorqAug 2022
      My general suggestion is to get a little more context about the understanding the brain to extract frameworks of intelligence.

      Two books general, popular books on the subject I recommend are:

      1/ The Master Algorithm - Pedro Domingos 2/ On Intelligence - Jeff Hawkins

      It's a good idea to read Jeff's previous book to see how he's built upon the original vision in A Thousand Brains.

      thread
    5. jfdiAug 2019
      Type 1: Not sure.

      Type 2: The Master Algorithm by Pedro Domingos

      thread
    6. UncleOxidantAug 2019
      For your category 2 book I would recommend: The Master Algorithm: How the Quest for the Ultimate Learning Machine https://www.goodreads.com/book/show/24612233-the-master-algo... What I like about this book is that it covers the various ML camps. Not just Deep Learning, but the Baysean approach as well.
      thread

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