The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our WorldRecommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own 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. |
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LibraryThing Review
Gebruikersrecensie - Paul_S - LibraryThingInane verbiage with no educational content. Just constant fawning and endless lists of potential and current applications of learning algorithms. The writing is beyond tiresome. Here's just one ... Volledige review lezen
LibraryThing Review
Gebruikersrecensie - antao - LibraryThingMachine 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 ... Volledige review lezen
Inhoudsopgave
The Master Algorithm | |
Humes Problem of Induction | |
How Does Your Brain Learn? | |
Evolution Natures Learning Algorithm | |
In the Church of the Reverend Bayes | |
You Are What You Resemble | |
Overige edities - Alles bekijken
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will ... Pedro Domingos Gedeeltelijke weergave - 2015 |
Master Algorithm: How the Quest for the Ultimate Learning Machine Will ... Pedro Domingos Geen voorbeeld beschikbaar - 2017 |
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will ... Pedro Domingos Geen voorbeeld beschikbaar - 2015 |
Veelvoorkomende woorden en zinsdelen
Alchemy analogizers at’s attributes autoencoder backprop Bayesian networks better big data brain called cancer cell Chapter chunking classier clusters combine complex concepts connectionists curve database decision tree diagnose dicult dierent drugs e-mail eciently eect encode engineering ere’s evolution evolutionaries evolve example exponential Facebook function genes genetic algorithm genetic programming genome Google gradient descent gure human hypotheses images inference innite input invented inverse deduction knowledge learning algorithms look lter machine learning Markov chain Markov networks Master Algorithm million multilayer perceptron Naïve Bayes nding nearest-neighbor neural networks neurons optimization output overtting patients predict probabilistic probability problem random reinforcement learning rithm Robby robot scientic scientists similar solve spam specic statistical structure support vector SVMs symbolists theorem theory there’s things tion tness turn universal learner variables weights what’s you’re