英語での«MACHINE LEARNING»の引用
machine learningという言葉で有名な引用文や文章
Graphics has lately made a great shift towards machine learning, which itself is about understanding data.
One of the things we did at PayPal was collaborative filtering and machine learning: looking at patterns of human behavior. We used it there to predict when people would try to cheat the system to get money. But you can predict pretty much any behavior with a certain amount of accuracy.
Ultimately, I hypothesize that technology will one day be able to recreate a realistic representation of us as a result of the plethora of content we're creating converging with other advances in machine learning, robotics and large-scale data mining.
«MACHINE LEARNING»に関連する英語の本
以下の図書目録から
machine learningの使いかたを見つけましょう。
machine learningに関する本と英語文献で使われた文脈を提供するための簡単な抜粋文。
1
Pattern Recognition and
Machine Learning
The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning.
Christopher M. Bishop, 2006
2
Data Mining: Practical
Machine Learning Tools and ...
This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at ...
Ian H. Witten, Eibe Frank, Mark A. Hall, 2011
3
Machine Learning: An Algorithmic Perspective
Written in an easily accessible style, this book bridges the gaps between disciplines, providing the ideal blend of theory and practical, applicable knowledge.
4
Foundations of
Machine Learning
Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms.
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, 2012
5
Bayesian Reasoning and
Machine Learning
A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
6
Machine Learning in Action
Provides information on the concepts of machine theory, covering such topics as statistical data processing, data visualization, and forecasting.
7
Machine Learning for Hackers
Presents algorithms that enable computers to train themselves to automate tasks, focusing on specific problems such as prediction, optimization, and classification.
Drew Conway, John White, 2012
8
Building
Machine Learning Systems with Python
This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices.
9
Introduction to
Machine Learning
An introductory text in machine learning that gives a unified treatment of methods based on statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining.
10
Gaussian Processes for
Machine Learning
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.
Carl Edward Rasmussen, Christopher K. I. Williams, 2006
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Can Microsoft's Azure bring machine learning to the masses? | CIO
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Amazon Improves Reviews System with Machine Learning
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Hack day report: Using Amazon Machine Learning to predict trolling
On hack day we experimented with using Amazon Machine Learning to perform numerical regression analysis, allowing us to predict which ... «The Guardian, 7月 15»
DataSift unveils machine learning for developers and marketers
DataSift, a vendor that delivers a machine learning platform, is trying to deliver these buzzwords as a platform that is applicable to all and ... «Network World, 7月 15»
Why Machine Learning Is The Next Penicillin
If machine learning is going to fulfill its potential and enhance the quality of our lives, it will require that we accept a change in the nature of our ... «Forbes, 7月 15»
CMU professor at forefront of machine learning research
The special type of software that makes these decisions is known as a machine learning program, and it's an area that Mr. Mitchell has ... «Pittsburgh Post-Gazette, 7月 15»
IT pros get a handle on machine learning and big data
Despite its benefits, machine learning can also go very wrong. Beginners need to understand their input data, project scope and purpose, and the machine ... «TechTarget, 7月 15»
DataSift embeds machine learning algorithms into its social media …
DataSift is aiming to improve its social media analysis platform by integrating machine learning algorithms into it that provide brands with better ... «Techworld.com, 7月 15»
