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[Ebook] ↠ Probably Approximately Correct Author Leslie Valiant – Brazilianportuguesetranslator.us

Probably Approximately Correct From A Leading Computer Scientist, A Unifying Theory That Will Revolutionize Our Understanding Of How Life Evolves And Learns.How Does Life Prosper In A Complex And Erratic World While We Know That Nature Follows Patterns Such As The Law Of Gravity Our Everyday Lives Are Beyond What Known Science Can Predict We Nevertheless Muddle Through Even In The Absence Of Theories Of How To Act But How Do We Do It In Probably Approximately Correct, Computer Scientist Leslie Valiant Presents A Masterful Synthesis Of Learning And Evolution To Show How Both Individually And Collectively We Not Only Survive, But Prosper In A World As Complex As Our Own The Key Is Probably Approximately Correct Algorithms, A Concept Valiant Developed To Explain How Effective Behavior Can Be Learned The Model Shows That Pragmatically Coping With A Problem Can Provide A Satisfactory Solution In The Absence Of Any Theory Of The Problem After All, Finding A Mate Does Not Require A Theory Of Mating Valiant S Theory Reveals The Shared Computational Nature Of Evolution And Learning, And Sheds Light On Perennial Questions Such As Nature Versus Nurture And The Limits Of Artificial Intelligence.Offering A Powerful And Elegant Model That Encompasses Life S Complexity, Probably Approximately Correct Has Profound Implications For How We Think About Behavior, Cognition, Biological Evolution, And The Possibilities And Limits Of Human And Machine Intelligence.

[Ebook] ↠ Probably Approximately Correct  Author Leslie Valiant – Brazilianportuguesetranslator.us
  • Hardcover
  • 208 pages
  • Probably Approximately Correct
  • Leslie Valiant
  • English
  • 19 January 2017
  • 0465032710

    10 thoughts on “[Ebook] ↠ Probably Approximately Correct Author Leslie Valiant – Brazilianportuguesetranslator.us


  1. says:

    This book introduces a very interesting idea what the author calls ecorithms An algorithm is a step by step instruction set to achieve the exact desired result in a controlled environment An ecorithm, by contrast, is run in an environment unknown to the designer and it can interact with the environment and learn from it Valiant postulates that a lot of natural phenomena, such as evolution and human cognition and behavior, are based on ecorithms The book didn t really deliver for me It s a This book introduces a very ...


  2. says:

    There is no greater satisfaction for me to read a book that so nicely bridges corner stone of computer science which is computational complexity, learning systems, human cognition and evolution Putting forward ideas that are indeed fascinating and enlightening and relieving us from great burden caused by being lost in this world with so many mysteries For me, I hope, most of these ideas present itself ultimately as a mode of life in which one isinformed and humble but at same time focuse There is no greater satisfaction for me to read a book that so nicely bridges corner stone of computer science which is computational complexity, learning systems, human cognition and evolution Putting forward ideas that are indeed fascinating and enlightening and relieving us from great burden caused by being lost in this...


  3. says:

    I was surprised to see a non technical book on such a rather arcane and technical subject though with rich implications in many areas.The book gives a decent low tech introduction to PAC learning, but if I have to make one complaint Leslie Valiant is not really an engaging writer or a writer not interested in being engaging his examples and approach is extremely dry you know drawi...


  4. says:

    Fascinating concept and several interesting parts, but a lot in the weeds.My favorite quote comes early on Much of everyday human decision making appears to be based on a competent ability to predict from past observation without any g...


  5. says:

    Disclaimer I finish the book in a period of a few months My memory may not be perfectly accurate on such an occasion So please check other peoples comments forserious reviews.I would say the key to this book is Ecorithm , a term the author coins to define the algorithms that animals and humans may use to adapt to the environments that they reside in The adaptation can happens in a larger time scale evolution or a smaller time scale learning Thus, from such a perspective, evoluti Disclaimer I finish the book in a period of a few months My memory may not be perfectly accurate on such an occasion So please check other peoples comments forserious reviews.I would say the key to this book is Ecorithm , a term the author coins to define the algorithms that animals and humans may use to adapt to the environments that they reside in The adaptation can happens in a larger time scale evolution or a smaller time scale learning Thus, from such a perspective, evolution and learning nature and nurture can essentially be seen as a continuum The underlying frame that author advocates is Probably Approximately Correct or PAC for short For any people with some knowledge of machine learning, PAC shouldn t be an unfamiliar concept Actually, there is a tendency in human histor...


  6. says:

    Computer Science is noabout computers than astronomy is about telescopes.Nell accezione comune l informatica vista solo come quella tecnologia che permette di scrivere documenti, preparare presentazioni, ritoccare foto e spedirle in tempo reale in giro per il mondo In realt , l informatica una scienza non a caso, in inglese denominata computer science e probabilmente negli ultimi 50 anni stata la pi prolifica delle scienze e quella che ha fornito i maggiori contributi allo svil Computer Science is noabout computers than astronomy is about telescopes.Nell accezione comune l informatica vista solo come quella tecnologia che permette di scrivere documenti, preparare presentazioni, ritoccare foto e spedirle in tempo reale in giro per il mondo In realt , l informatica una scienza non a caso, in inglese denominata computer science e probabilmente negli ultimi 50 anni stata la pi prolifica delle scienze e quella che ha fornito i maggior...


  7. says:

    Can t give a star rating because I was in so far over my head Will put a few definitions down in case I come across them again in reading about machine learning or something related to Alan Turing Ecorithm algorithm that takes information from its environment so as to perform better in that environment Algos for machine learning, evolution, and learning for the purpose of reasoning are all examples Theoryless denotes decisions for which there is not a good explanatory and predictive theo Can t give a star rating because I was in so far over my head Will put a few definitions down in case I come across them again in reading about machine learning or something related to Alan Turing Ecorithm algorithm that takes information from its environment so as to perform better in that environment Algos for machine learning, evolution, and learning for the purpose of reasoning are all examples Theoryle...


  8. says:

    A challenging read that above all stays faithful to the discipline and integrity of academia to the sacrifice of wider accessibility Nevertheless, the ideas are truly thought provoking, the perspectives and paradigm of thinking quite novel and enlightening, and due to Valiant s ever present rigor, meaningful and concrete.If you are the type to appreciate an understated yet subtly powerful and rigorously built idea over exaggerated could be s and fanciful specula...


  9. says:

    If you re interested in how people learn, you will definitely enjoy this book It presents an interesting view on learning and how it emerges from interactions with the environment There s a lot in this book to appreciate in terms of developing a better understanding of learning I found mys...


  10. says:

    Wonderfully dry prose that sandwiches some mindblowing ideas to the uninitiated Anyone who shares Chomsky s crabbiness about the rise of probabilistic models should read this as a detente for theoryful theoryless science and our impending theoryful theoryless world.

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