Building Machine Learning Systems with Python

Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need.

von Luis Pedro Coelho, Willi Richert

290 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need.Key Features:Master Machine Learning using a broad set of Python libraries and start building your own Python-based ML systemsCovers classification, regression, feature engineering, and much more guided by practical examplesA scenario-based tutorial to get into the right mind-set of a machine learner (data exploration) and successfully implement this in your new or existing projectsBook Description:Machine learning, the field of building systems that learn from data, is exploding on the Web and elsewhere. Python is a wonderful language in which to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation and an increasing number of machine learning libraries are developed for Python.Building Machine Learning system with Python shows you exactly how to find patterns through raw data. The book starts by brushing up on your Python ML knowledge and introducing libraries, and then moves on to more serious projects on datasets, Modelling, Recommendations, improving recommendations through examples and sailing through sound and image processing in detail. Using open-source tools and libraries, readers will learn how to apply methods to text, images, and sounds. You will also learn how to evaluate, compare, and choose machine learning techniques. Written for Python programmers, Building Machine Learning Systems with Python teaches you how to use open-source libraries to solve real problems with machine learning. The book is based on real-world examples that the user can build on.Readers will learn how to write programs that classify the quality of StackOverflow answers or whether a music file is Jazz or Metal. They will learn regression, which is demonstrated on how to recommend movies to users. Advanced topics such as topic modeling (finding a text's most important topics), basket analysis, and cloud computing are covered as well as many other interesting aspects.Building Machine Learning Systems with Python will give you the tools and understanding required to build your own systems, which are tailored to solve your problems.What You Will Learn:Build a classification system that can be applied to text, images, or soundsUse scikit-learn, a Python open-source library for machine learningExplore the mahotas library for image processing and computer visionBuild a topic model of the whole of WikipediaGet to grips with recommendations using the basket analysisUse the Jug package for data analysisEmploy Amazon Web Services to run analyses on the cloudRecommend products to users based on past purchases

• Themen: Informatik und Informationstechnologie Allgemeine Themen
• ISBN: 9781782161400
• Sprache: Englisch
• Erscheinungsdatum: 28.03.2013
• Größe: 235 x 191 mm
• Verlag: Packt Publishing