# Real world machine learning (part 1)

DevFeed: [Real world machine learning (part 1)](<https://devfeed.tech/articles/real-world-machine-learning-part-1-20209.md>)

Original publisher: [Read original article](<https://blog.janestreet.com/real-world-machine-learning-part-1/>)

Published: 2017-08-28T00:00:00Z

Content type: article

Language: en

Sources: [Jane Street](<https://devfeed.tech/sources/jane-street.md>)

Topics: [Machine Learning & Artificial Intelligence](<https://devfeed.tech/topics/machine-learning-artificial-intelligence.md>), [data](<https://devfeed.tech/topics/data.md>), [Algorithm](<https://devfeed.tech/topics/algorithm.md>)

Tags: [algorithm](<https://devfeed.tech/tags/algorithm.md>), [data](<https://devfeed.tech/tags/data.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [model](<https://devfeed.tech/tags/model.md>), [technology](<https://devfeed.tech/tags/technology.md>)

## AI overview

Jane Street describes how data, mathematics, and technology inform the development and operation of machine-learning trading strategies. The article emphasizes production work such as collecting, cleaning, exploring, and modeling large volumes of market data, along with applying domain expertise.

## Source excerpt

Trading is a competitive business. You need great people and great technology, of course, but also trading strategies that make money. Where do those strategies come from? In this post we'll discuss how the interplay of data, math and technology informs how we develop and run strategies.