#machine
Explore Books, Authors and Common Highlights on Machine
Showing 53 of 53 highlights
The idea of a universal machine is a powerful one that can simulate any other machine.
From The Annotated Turing by Charles Petzold
The future will be about the collaboration between humans and machines.
The more data you have, the better your predictions.
From The Master Algorithm by Pedro Domingos
The master algorithm is the one algorithm that can learn anything from data.
From The Master Algorithm by Pedro Domingos
Machines are not just tools; they are transforming our economy and society.
From Machine, Platform, Crowd by Andrew McAfee and Erik Brynjolfsson
The ultimate goal of machine learning is to find the master algorithm.
From The Master Algorithm by Pedro Domingos
The Master Algorithm could create a machine that learns everything.
From The Master Algorithm by Pedro Domingos
The goal of machine learning is to turn data into knowledge.
From The Master Algorithm by Pedro Domingos
There is no free lunch in machine learning.
From The Master Algorithm by Pedro Domingos
Our machines must reflect our best selves, not just our mistakes.
From The Alignment Problem by Brian Christian
Machine learning is a subset of AI that focuses on building systems that learn from data.
From Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
Machine learning is a revolution in how we think about intelligence.
From The Master Algorithm by Pedro Domingos
There is no ghost in the machine.
From The Concept of Mind by Gilbert Ryle
Machine learning is the science of getting computers to act without being explicitly programmed.
From The Master Algorithm by Pedro Domingos
A Turing machine can be in one of a finite number of states.
From The Annotated Turing by Charles Petzold
The distinction between human and machine will become increasingly blurred.
From The Singularity is Near by Ray Kurzweil
We need to teach our machines to learn from experience, just like humans do.
From The Master Algorithm by Pedro Domingos
The combination of machine intelligence and human judgment can lead to better outcomes.
From Machine, Platform, Crowd by Andrew McAfee and Erik Brynjolfsson
The relationship between humans and machines will define the 21st century.
From The Age of AI by Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher
The Turing machine is a model of computation.
From The Annotated Turing by Charles Petzold
The power of machine learning lies in its ability to generalize.
From The Master Algorithm by Pedro Domingos
Feature engineering is the process of using domain knowledge to create features that make machine learning algorithms work.
From The Hundred-Page Machine Learning Book by Andriy Burkov
Every time we use machine learning, we are shaping the future of technology.
From The Master Algorithm by Pedro Domingos
A good understanding of data is crucial in developing a successful machine learning solution.
From The Hundred-Page Machine Learning Book by Andriy Burkov
To understand a machine is to understand a part of ourselves.
The key to machine learning is finding the right representation of the data.
From The Master Algorithm by Pedro Domingos
The real challenge is to create machines that are beneficial to humanity.
From Human Compatible by Stuart Russell
Deep learning is a subfield of machine learning that uses algorithms inspired by the structure and function of the brain.
From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
The real question is not whether machines think but whether humans do.
From The Annotated Turing by Charles Petzold
Humans have unique qualities that machines cannot replicate.
From Human Compatible by Stuart Russell
The second machine age presents us with both unprecedented opportunities and daunting challenges.
From The Second Machine Age by Erik Brynjolfsson and Andrew McAfee
A computer is a universal machine.
From The Annotated Turing by Charles Petzold
The Turing machine is a simple abstract device that can simulate any computer algorithm.
From The Annotated Turing by Charles Petzold
Understanding how to make machines that can learn and adapt to our preferences is crucial.
From The Alignment Problem by Brian Christian
The limits of computation are defined by the Turing machine.
From The Annotated Turing by Charles Petzold
We must think carefully about the values we want to instill in our machines.
From Life 3.0 by Max Tegmark
Machine learning is a powerful tool when applied appropriately.
From The Hundred-Page Machine Learning Book by Andriy Burkov
Feature selection is crucial in building effective machine learning models.
From The Hundred-Page Machine Learning Book by Andriy Burkov
We are all machine learners now.
From The Master Algorithm by Pedro Domingos
The bias-variance tradeoff is a central concept in machine learning.
From The Hundred-Page Machine Learning Book by Andriy Burkov
Understanding the problem is the first step in the machine learning process.
From The Hundred-Page Machine Learning Book by Andriy Burkov
To build machines that think, we must first understand how we think.
From Genius Makers by Cade Metz
The body is a wonderfully intricate machine.
We are at the dawn of a new machine age that is reshaping our economy and society.
From The Second Machine Age by Erik Brynjolfsson and Andrew McAfee
In a sense, every computer is a Turing machine.
From The Annotated Turing by Charles Petzold
As we create intelligent machines, we must also cultivate our own intelligence.
From T-Minus AI by Michael Kanaan
The most important part of machine learning is the data.
From The Hundred-Page Machine Learning Book by Andriy Burkov
We are on the brink of a new era in machine learning.
From Genius Makers by Cade Metz
Any computation can be performed by a Turing machine.
From The Annotated Turing by Charles Petzold
Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data.
From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
A Turing machine is a theoretical model that helps us understand computation.
From The Annotated Turing by Charles Petzold
Machine learning is a powerful tool, but it is not without limitations.
Artificial intelligence is the science of making machines do things that would require intelligence if done by humans.
From Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig