The Master Algorithm

Posted on 15 March 2017 by Pedro Domingos

Wonderfully erudite, humorous, and easy to read KDNuggetsIn 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 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. Download The Master Algorithm by Pedro Domingos – kino-fada.fr Domingos wants to cover all of machine learning for the layman, but it winds up being a big mess.The level of explanation veers wildly from ridiculously oversimplified to technical minutiae It isconfusing than enlightening as it goes through topics in an almost random order, scattering them all throughout the book You would think that Hume s problem of induction, the underdetermination of data, Occam s razor, the curse of dimensionality, and overfitting, would all be discussed in one an Domingos wants to cover all of machine learning for the layman, but it winds up being a big mess.The level of explanation veers wildly from ridiculously oversimplified to technical minutiae It isconfusing than enlightening as it goes through topics in an almost random order, scattering them all throughout the book You would think that Hume s problem of induction, the underdetermination of data, Occam s razor, the curse of dimensionality, and overfitting, would all be discussed in one and the same place in order to set the stage for how the various tribes work, but you would be wrong The manic stream of consciousness writing style also drives me nuts, and the little medieval fantasy passages come off as puerile I smiled Once The explanations are almost uniformly terrible another reviewer asks if this is the worst explanation of Bayesian inference one has ever read I would have to say that at le...I am really struggling to remember a book that has irritated me as much as this one, which is a shame because it s on a very interesting and significant subject Pedro Domingos takes us into the world of computer programs that solve problems through learning, exploring everything from back propagating neural networks to Bayesian algorithms, looking for the direction in which we might spot the computing equivalent of the theory of everything, the master algorithm that can do pretty much anything I am really struggling to remember a book that has irritated me as much as this one, which is a shame because it s on a very interesting and significant subject Pedro Domingos takes us into the world of computer programs that solve problems through learning, exploring everything from back propagating neural networks to Bayesi...Remembering SophiaWhile reading this book , the image of Sophia was constantly assaulting my mental screen I m sure most of you remember that gorgeous social robot, that could blink, smile, raise an eyebrow, and was capable of 59facial expressions.She has been a media darling, showing herself in magazines, newspapers, tv news, talk shows, spreading her charm all over the world.She could handle a clever conversation, make eye contact and even show some sense of humour Sophia dreams ab Remembering SophiaWhile reading this book , the image of Sophia was constantly assaulting my mental screen I m sure most of you rememb...Um livro bem denso que usa a intelig ncia artificial como contexto para explicar algoritmos Passando pelos v rios tipos de algoritmos de machine learning conexionistas, bayesianos, evolutivos, simbolistas e analogistas.Pesado, mas did tico e bem humorado N o recomendo para o p blico geral Recomendo muito para quem j tem um background em matem tica ou ci ncias em geral, ou quem realmente quer entender como funcionam os m todos de an lise de big data atuais, porque depende de v rios conceitos Um livro bem denso que usa a intelig ncia artificial como contexto para explicar algoritmos Passando pelos v rios tipos de algoritmos de machine learning conexionistas, bayesianos, evolutivos, simbolistas e analogistas.Pesado, mas did tico e bem humorado N o recomendo para o p blico geral Recomendo muito para quem j tem um background em matem tica ou ci ncias em geral, ou quem realmente quer entender como funcionam os m todos de an lise de big data atuais, porque depende de v rios conceitos pr vios E recomendo especialmente para quem trabalha...A Era dos Human idesQue sensa o experimentariam, se algum dia entrassem de urg ncia num hospital, para uma interven o cir rgica, e dessem de caras com um robot cirurgi o E se numa ida ao tribunal, a ocupar a cadeira do respeit vel juiz, se encontrasse um human ide Para j , tais eventos ainda figuram na lista dos incr veis imposs veis, masn o estaremos a enveredar por a A verdade que j se conhecem softwares capazes de diagnosticar doen as, e robots a colaborar em cirurgias Estes A Era dos Human idesQue sensa o experi...The author states that intuition is what you use when you don t have enough data The author will show heuristically how intuition is slowly being taken out of analyzing big data and being replaced with algorithms which teach themselves how to make the data speak for themselves All learning starts with some knowledge a quote from Hume, that the author invokes , and from Hume we know that there is a problem with induction, no matter what the particular can not prove the universal ...Good overview of machine learning The master algorithm seems like an overwhelming concept at first, but the book is very accessible for anyone who has a basic education in comp sci However it s pretty clear that the intended audience is ner...From a content standpoint, The Master Algorithm by Pedro Domingos is a great crash course for anyone who is interested in learningabout machine learning But from an ease of comprehension standpoint, this book is far from the layman s journey that Domingos claims it is.I found myself able to follow roughly 70% or so of the technical content of this book, and there were definitely some times that it was a bit too technical for me to completely grasp what he was trying to say The writing From a content standpoint, The Master Algorithm by Pedro Domingos is a great crash course for anyone who is interested in learningabout machine learning But from an ease of comprehension standpoint, this book is far from the layman s journey that Domingos claims it is.I found myself able to follow roughly 70% or so of the technical content of this book, and there were definitely some times that it was a bit too technical for me to completely grasp what he was trying to say The writing at times can become circular in nature a...If you re into stuff like this, you can read the full review.Machine Learning Made Easier or NOT The Master Algorithm by Pedro Domingos Published September 22nd 2015 How can one become an expert in ML All one needs is a basic background in multivariate Calculus, Linear Algebra, and Probability ML is math If one wants to understand the techniques, one has to understand the math No shortcut If one wants to start looking into the field of ML, this book is for you If not, stay well c If you re into stuff like this, you can read the full review.Machine Learning Made Easier or NOT The Master Algorithm by Pedro Domingos Published September 22nd 2015 How can one become an expert in ML All one needs is a basic background in multivariate Calculus, Linear Algebra, and Probability ML is math If one wants to understand the techniques, one has to understand the math No shortcut If one wants to start looking into the field of ML, this book is for you If not, stay well clear My background is in computer science and software engineering and I ve been interested i...I ve finally came around to finishing this book after I started reading itthan a year ago The Master Algorithm attempts to present a high level overview of machine learning for the non technical reader The author describes the five different tribes of machine learning analogizers, evolutionaries, Bayesians, connectionists,...

15 March 2017

Pedro Domingos