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Bibliographic Details

Title: Machine Learning kurz & gut: Eine Einf�hrung mit Python, Scikit-Learn und TensorFlow
Publisher: Dpunkt.Verlag GmbH
Publication Date: 2021
Language: German
ISBN 10: 3960091613
ISBN 13: 9783960091615
Binding: Soft cover
Condition: good

About this title

Synopsis

The compact quick start in machine learning and deep learning

The new edition of the bestseller has been complemented by the topics of Unsupervised Learning and Reinforcement Learning.
Using concrete data sets, you will learn about a typical workflow: from data import to data cleaning, data analysis to data visualisation.
Not only suitable for future data scientists and ML professionals, but also for interested parties who only have to do with ML on the edge, such as B. Software developers

Machine learning today influences almost all areas of technology and society. This book provides interested parties with a technical background the fastest possible introduction to the extensive subject area of machine learning and statistical data analysis. The following topics are treated and illustrated with practical examples:

Data Import and Preparation
Supervised Learning
Feature selection, model validation
Neural Networks and Deep Learning
Unsupervised Learning
Reinforcement Learning

With specific datasets, you will learn a typical workflow: from data import to data cleaning, data analysis and data visualization. The code examples are based on Python and the Scikit-Learn, Pandas, NumPy, TensorFlow and Keras libraries.

After reading this book, you will have an overview of the entire topic and can rank and evaluate approaches. The book gives you a solid foundation to train your first own machine learning models and understanding in-depth literature.

"About this title" may belong to another edition of this title.

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