#machine-learning
Explore Books, Authors and Common Highlights on Machine-learning
Showing 26 of 26 highlights
A good understanding of data is crucial in developing a successful machine learning solution.
From The Hundred-Page Machine Learning Book by Andriy Burkov
The key to machine learning is finding the right representation of the data.
From The Master Algorithm by Pedro Domingos
Understanding the problem is the first step in the machine learning process.
From The Hundred-Page Machine Learning Book by Andriy Burkov
We are all machine learners now.
From The Master Algorithm by Pedro Domingos
To build machines that think, we must first understand how we think.
From Genius Makers by Cade Metz
The master algorithm is the one algorithm that can learn anything from data.
From The Master Algorithm by Pedro Domingos
Machine learning is a powerful tool, but it is not without limitations.
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
The most important part of machine learning is the data.
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
The power of machine learning lies in its ability to generalize.
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
Machine learning is a powerful tool when applied appropriately.
From The Hundred-Page Machine Learning Book by Andriy Burkov
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 the science of getting computers to act without being explicitly programmed.
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
Every time we use machine learning, we are shaping the future of technology.
From The Master Algorithm by Pedro Domingos
Machine learning is a revolution in how we think about intelligence.
From The Master Algorithm by Pedro Domingos
The ultimate goal of machine learning is to find the master algorithm.
From The Master Algorithm by Pedro Domingos
The more data you have, the better your predictions.
From The Master Algorithm by Pedro Domingos
The Master Algorithm could create a machine that learns everything.
From The Master Algorithm by Pedro Domingos
We are on the brink of a new era in machine learning.
From Genius Makers by Cade Metz
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
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
There is no free lunch in machine learning.
From The Master Algorithm by Pedro Domingos
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