#algorithms
Explore Books, Authors and Common Highlights on Algorithms
Showing 44 of 44 highlights
The study of algorithms is both an art and a science.
From Grokking Algorithms by Aditya Bhargava
The future of deep learning will depend on the interplay between advancements in algorithms and hardware capabilities.
From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Algorithms are the recipes for computation.
From The Annotated Turing by Charles Petzold
Every time we use a computer, we’re using algorithms.
From The Master Algorithm by Pedro Domingos
The essence of computer science is the study of algorithms.
From The Annotated Turing by Charles Petzold
Algorithms are not neutral; they carry the biases of their creators.
From Atlas of AI by Kate Crawford
Algorithms can help us make better decisions by processing vast amounts of data.
From The Master Algorithm by Pedro Domingos
Understanding algorithms is key to understanding our world.
From The Master Algorithm by Pedro Domingos
Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns.
From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
You should measure the time it takes to execute your algorithms.
Good algorithms lead to better performance and faster results.
From Grokking Algorithms by Aditya Bhargava
Knowing a variety of algorithms allows you to choose the best one for the task at hand.
From Grokking Algorithms by Aditya Bhargava
The brain's functioning cannot be reduced to mere algorithms.
From The Emperor's New Mind by Roger Penrose
We are just beginning to scratch the surface of what algorithms can do.
From The Master Algorithm by Pedro Domingos
We must take responsibility for the algorithms we create.
From The Big Nine by Amy Webb
The future of AI is not just about algorithms; it's about how we apply them.
The concept of 'algorithm' is central to computer science.
From The Annotated Turing by Charles Petzold
The algorithms that govern our lives are often opaque, and they create a feedback loop that reinforces inequality.
Efficiency in algorithms is not just about speed; it's also about resourcefulness.
From Grokking Algorithms by Aditya Bhargava
Understanding algorithms is crucial for understanding the modern world.
From The Master Algorithm by Pedro Domingos
Algorithms are the new electricity.
From The Master Algorithm by Pedro Domingos
Algorithms are not neutral — they reflect the biases of their creators.
We must hold organizations accountable for their use of algorithms.
Cryptography has evolved from simple techniques to complex algorithms.
From The Codebreakers: The Comprehensive History of Secret Communication from Ancient Times to the Internet by David Kahn
The lack of transparency in algorithms allows bias to thrive.
Understanding algorithms is essential to understanding the nature of computation.
From The Annotated Turing by Charles Petzold
Algorithms are like recipes; they provide a set of instructions to solve a problem.
From Grokking Algorithms by Aditya Bhargava
Understanding the algorithms behind AI is crucial for harnessing its power.
From Genius Makers by Cade Metz
Computers do not think; they merely execute algorithms.
From The Annotated Turing by Charles Petzold
The more we rely on algorithms, the more we need to question their influence.
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 master algorithm is the one algorithm that can learn anything from data.
From The Master Algorithm by Pedro Domingos
The algorithms we create will shape our lives in ways we can't yet imagine.
From The Big Nine by Amy Webb
The algorithms that govern our lives are opaque and unaccountable.
The future of computing is not about faster hardware, but smarter algorithms.
From The Annotated Turing by Charles Petzold
The ultimate goal of machine learning is to find the master algorithm.
From The Master Algorithm by Pedro Domingos
The lack of transparency in algorithms can lead to discrimination and injustice.
In the end, all algorithms are trying to solve the same problem.
From The Master Algorithm by Pedro Domingos
As algorithms improve, so too must our understanding of their implications.
From Power and Prediction by Ajay Agrawal, Joshua Gans, and Avi Goldfarb
Data is the new oil, and algorithms are the refineries.
From The Master Algorithm by Pedro Domingos
The real world is messy, and algorithms must navigate that mess.
From The Master Algorithm by Pedro Domingos
An algorithm must be seen to be believed.
The Turing machine is a simple abstract device that can simulate any computer algorithm.
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