#data
Explore Books, Authors and Common Highlights on Data
Showing 72 of 72 highlights
China has the potential to lead the world in AI due to its vast data and talent pool.
From AI Superpowers by Kai-Fu Lee
Data is the new oil, but it's the refinement of that data that truly matters.
From Prediction Machines by Ajay Agrawal, Joshua Gans, and Avi Goldfarb
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
The most important part of machine learning is the data.
From The Hundred-Page Machine Learning Book by Andriy Burkov
Overfitting occurs when a model learns the noise in the training data.
From The Hundred-Page Machine Learning Book by Andriy Burkov
We must focus on the principles of learning rather than just the data itself.
Data may be objective, but the interpretation is not.
Data is the fuel for prediction machines.
From Prediction Machines by Ajay Agrawal, Joshua Gans, and Avi Goldfarb
Data is the new oil, and those who control it will control the future.
From Genius Makers by Cade Metz
Maps can reveal patterns that are invisible to the naked eye.
From The Ghost Map by Steven Johnson
We are now letting the data make decisions for us, and that's dangerous.
Data is the new oil, and harnessing it effectively will be crucial for success in the digital economy.
From The Second Machine Age by Erik Brynjolfsson and Andrew McAfee
Algorithms can help us make better decisions by processing vast amounts of data.
From The Master Algorithm by Pedro Domingos
Data-driven decision making is not just a trend; it's a necessity.
From Power and Prediction by Ajay Agrawal, Joshua Gans, and Avi Goldfarb
Data is the new oil, and algorithms are the machines that refine it.
From The Master Algorithm by Pedro Domingos
In a world of surveillance capitalism, we are all subjects of data extraction.
Overfitting occurs when a model learns the noise in the training data instead of the underlying distribution.
From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
The data that powers AI is often a reflection of existing inequalities.
From Atlas of AI by Kate Crawford
It is essential to interrogate the data and the models that shape our decisions.
Data is the new oil.
Data is the new oil, and algorithms are the refineries.
From The Master Algorithm by Pedro Domingos
The key to machine learning is finding the right representation of the data.
From The Master Algorithm by Pedro Domingos
The goal of machine learning is to generalize from the training data to unseen data.
From The Hundred-Page Machine Learning Book by Andriy Burkov
Harnessing predictive analytics can lead to significant competitive advantages.
From Power and Prediction by Ajay Agrawal, Joshua Gans, and Avi Goldfarb
Human intelligence is not merely a product of data; it involves complex reasoning.
The goal of machine learning is to turn data into knowledge.
From The Master Algorithm by Pedro Domingos
Data is the new oil, but it requires refinement.
From Power and Prediction by Ajay Agrawal, Joshua Gans, and Avi Goldfarb
The more data you have, the better your predictions.
From The Master Algorithm by Pedro Domingos
Data is the new oil, and those who control it will have immense power.
From AI Superpowers by Kai-Fu Lee
Data is the new oil, but we need to refine it to make it useful.
Data can reveal patterns that are invisible to the naked eye.
From The Ghost Map by Steven Johnson
Big data can lead to big mistakes if we're not careful.
Every improvement can be measured.
From The Goal by Eliyahu M. Goldratt
Overfitting occurs when a model learns the training data too well, including its noise.
From The Hundred-Page Machine Learning Book by Andriy Burkov
Big data is the new oil, and those who can harness it will thrive.
The success of deep learning has been driven by the availability of large datasets and powerful computation.
From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
One of the most important aspects of deep learning is the use of large amounts of data to train models.
From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Analytics play a crucial role in refining your SEO strategy.
From SEO for the Long Tail by Stacy Farr
Feature selection is crucial in building effective machine learning models.
From The Hundred-Page Machine Learning Book by Andriy Burkov
A good understanding of data is crucial in developing a successful machine learning solution.
From The Hundred-Page Machine Learning Book by Andriy Burkov
In a world where data is abundant, the value of insight becomes paramount.
From Power and Prediction by Ajay Agrawal, Joshua Gans, and Avi Goldfarb
Analytics help you understand what works and what doesn’t.
From The Little Book of SEO: A Short and Sweet Guide to Search Engine Optimization by Alexandra Morgan
Data is the new oil, and its value is immense.
From AI 2041 by Kai-Fu Lee and Chen Qiufan
Algorithms are not neutral — they reflect the biases of their creators.
AI's power lies in its ability to process vast amounts of data.
From Atlas of AI by Kate Crawford
Data is the new oil, but it must be refined to be useful.
From Genius Makers by Cade Metz
Blockchain technology is a distributed ledger that records transactions across many computers.
Deep learning models have gained popularity due to their ability to learn complex patterns in large datasets.
From The Hundred-Page Machine Learning Book by Andriy Burkov
Data is the new oil, but it is not a renewable resource.
A paradigm shift occurs when a new theory emerges that offers a better explanation of the data.
From The Structure of Scientific Revolutions by Thomas S. Kuhn
The power of data is that it can turn chaos into order.
From The Ghost Map by Steven Johnson
Data is not information, information is not knowledge.
From The Information by James Gleick
Machines learn from data, but the data can reflect biases and errors present in society.
From The Alignment Problem by Brian Christian
Data is the new oil; it fuels the future.
From Out of the Ether by Matthew Leising
The best predictions come from combining different models.
From The Model Thinker by Scott E. Page
Data is the new oil, but it needs refining.
From The Big Nine by Amy Webb
We must understand the implications of living in a world where data is power.
Metrics should guide you, not define you.
From The Lean Startup by Eric Ries
The biases in our data are the biases in ourselves.
From The Big Nine by Amy Webb
The future of democracy depends on our ability to reclaim our personal data.
Data-driven decisions can exacerbate existing biases rather than eliminate them.
Data is not enough; we need a model that tells us how the world works.
From The Book of Why by Judea Pearl
The distinction between knowledge and data is crucial in understanding AI.
From Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
Regularization techniques are essential to prevent overfitting and ensure generalization to new data.
From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
A good model is one that generalizes well to unseen data.
From The Hundred-Page Machine Learning Book by Andriy Burkov
A good analyst is not only a thinker but also a storyteller, weaving narratives from data.
From The Psychology of Intelligence Analysis by Richards J. Heuer Jr.
Data is a crucial part of the scientific method, but it is not enough by itself.
From The Book of Why by Judea Pearl
The key to deep learning is representation learning, where the model learns to represent the input data in a way that makes it easier to solve the task at hand.
From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Data is only as valuable as the insights it provides.
From The Ghost Map by Steven Johnson
The data that powers AI systems is often rooted in historical inequalities.
From Atlas of AI by Kate Crawford
Data should inform your content decisions and strategies.
From Content Marketing for the Modern Age by Michael Brenner