We are proud to announce that Raul Garreta (Co-Founder & CTO of Tryolabs) and Guillermo Moncecchi have published a new book called “Learning scikit-learn: Machine Learning in Python”.

我们很自豪地宣布，劳拉·加雷塔（Tryolabs的联合创始人兼CTO）和吉列尔莫·蒙西奇（Guillermo Moncecchi）出版了一本新书，名为《 学习scikit-learn：Python中的机器学习》 。

Raul has been involved with academia for years, teaching Machine Learning and Natural Language Processing at the Computer Science Institute of Universidad de la República in Uruguay since 2007. As CTO and Product Manager at Tryolabs, he has been applying Machine Learning techniques for the industry since 2009.

自2007年以来，Raul一直在学术界工作，自2007年以来在乌拉圭共和国大学计算机科学学院教授机器学习和自然语言处理。作为Tryolabs的CTO和产品经理，他从那时起就一直在该行业中应用机器学习技术。 2009年。

Guillermo Moncecchi is a Natural Language Processing researcher at the Universidad de la República of Uruguay. He received a PhD in Natural Language Processing from the Universidad de la República, Uruguay and a Ph.D in Language Sciences from the Université Paris Ouest, France.

Guillermo Moncecchi是乌拉圭共和国大学自然语言处理研究员。 他在乌拉圭共和国大学获得自然语言处理博士学位，并在法国巴黎西部大学获得语言科学博士学位。

The book covers the benefits of Machine Learning techniques by applying them to real-world problems using Python and the open source Scikit-learn library.

本书通过使用Python和开源Scikit-learn库将机器学习技术应用于现实世界中的问题，涵盖了机器学习技术的优势。

What you can expect to learn from this book?

您可以从这本书中学到什么？

The book starts with a brief introduction to the core concepts of Machine Learning with a simple example. Then, it describes how to use Machine Learning algorithms like Support Vector Machines, Naive Bayes, Decision Trees and Clustering to resolve different real-world applications.

本书从一个简单的示例开始，简要介绍了机器学习的核心概念。 然后，它描述了如何使用支持向量机，朴素贝叶斯，决策树和聚类之类的机器学习算法来解决不同的实际应用。

Finally you will learn to evaluate your results and apply advanced techniques for preprocessing data and adjusting your models. The book shows and explains source code which can also download here.

最后，您将学习评估结果并应用高级技术来预处理数据和调整模型。 这本书显示并说明了源代码，也可以在此处下载。

Who this book is written for?

这本书是为谁写的？

If you are a programmer who wants to explore Machine Learning and data-based methods to build intelligent applications and enhance your programming skills, this the book for you. No previous experience with Machine Learning algorithms is required.

如果您是想探索机器学习和基于数据的方法来构建智能应用程序并增强您的编程技能的程序员，那么这本书将为您服务。 无需具备机器学习算法的经验。

翻译自: https://www.pybloggers.com/2013/11/rauls-new-machine-learning-book/