#algorithm
Explore Books, Authors and Common Highlights on Algorithm
Showing 48 of 48 highlights
The future of deep learning will depend on the interplay between advancements in algorithms and hardware capabilities.
Efficiency in algorithms is not just about speed; it's also about resourcefulness.
From Grokking Algorithms by Aditya Bhargava
An algorithm must be seen to be believed.
In the end, all algorithms are approximations.
From The Master Algorithm by Pedro Domingos
The brain's functioning cannot be reduced to mere algorithms.
From The Emperor's New Mind by Roger Penrose
The algorithms that govern our lives are opaque and unaccountable.
The Master Algorithm is the one algorithm to rule them all.
From The Master Algorithm by Pedro Domingos
Understanding algorithms is key to understanding our world.
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
Understanding the algorithms behind AI is crucial for harnessing its power.
From Genius Makers by Cade Metz
Algorithms are the recipes for computation.
From The Annotated Turing by Charles Petzold
As algorithms improve, so too must our understanding of their implications.
The essence of computer science is the study of algorithms.
From The Annotated Turing by Charles Petzold
We must hold organizations accountable for their use of algorithms.
Algorithms can help us make better decisions by processing vast amounts of data.
From The Master Algorithm by Pedro Domingos
The future of computing is not about faster hardware, but smarter algorithms.
From The Annotated Turing by Charles Petzold
The future of AI is not just about algorithms; it's about how we apply them.
Every time we use a computer, we’re using algorithms.
From The Master Algorithm by Pedro Domingos
The lack of transparency in algorithms allows bias to thrive.
Deep learning is a subfield of machine learning that uses algorithms inspired by the structure and function of the brain.
The master algorithm is the one algorithm that can learn anything from data.
From The Master Algorithm by Pedro Domingos
Good algorithms lead to better performance and faster results.
From Grokking Algorithms by Aditya Bhargava
Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns.
Algorithms are not neutral; they carry the biases of their creators.
From Atlas of AI by Kate Crawford
Knowing a variety of algorithms allows you to choose the best one for the task at hand.
From Grokking Algorithms by Aditya Bhargava
The Turing machine is a simple abstract device that can simulate any computer algorithm.
From The Annotated Turing by Charles Petzold
We must take responsibility for the algorithms we create.
From The Big Nine by Amy Webb
Algorithms are the new electricity.
From The Master Algorithm by Pedro Domingos
Algorithms are like recipes; they provide a set of instructions to solve a problem.
From Grokking Algorithms by Aditya Bhargava
The ultimate goal of machine learning is to find the master algorithm.
From The Master Algorithm by Pedro Domingos
Every algorithm can be represented as a flowchart, illustrating how it operates.
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.
We are just beginning to scratch the surface of what algorithms can do.
From The Master Algorithm by Pedro Domingos
Cryptography has evolved from simple techniques to complex algorithms.
You should measure the time it takes to execute your algorithms.
The concept of 'algorithm' is central to computer science.
From The Annotated Turing by Charles Petzold
The more we rely on algorithms, the more we need to question their influence.
The lack of transparency in algorithms can lead to discrimination and injustice.
The study of algorithms is both an art and a science.
From Grokking Algorithms by Aditya Bhargava
Computers do not think; they merely execute algorithms.
From The Annotated Turing by Charles Petzold
Algorithms are not neutral — they reflect the biases of their creators.
The limits of computation are defined by the limits of what can be described algorithmically.
From The Annotated Turing by Charles Petzold
Data is the new oil, and algorithms are the refineries.
From The Master Algorithm by Pedro Domingos
In the end, all algorithms are trying to solve the same problem.
From The Master Algorithm by Pedro Domingos
Understanding algorithms is crucial for understanding the modern world.
From The Master Algorithm by Pedro Domingos
Understanding algorithms is essential to understanding the nature of computation.
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.
The algorithms we create will shape our lives in ways we can't yet imagine.
From The Big Nine by Amy Webb