Introduction to machine learning with Python: a guide for data scientists
"Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learnin...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media, Inc
[2017]
|
| Ausgabe: | First edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781449369880/?ar |
| Zusammenfassung: | "Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you'll learn: Fundamental concepts and applications of machine learning ; Advantages and shortcomings of widely used machine learning algorithms ; How to represent data processed by machine learning, including which data aspects to focus on ; Advanced methods for model evaluation and parameter tuning ; The concept of pipelines for chaining models and encapsulating your workflow ; Methods for working with text data, including text-specific processing techniques ; Suggestions for improving your machine learning and data science skills"--Provided by publisher. |
| Beschreibung: | Includes index. - Print version record |
| Umfang: | 1 Online-Ressource (xii, 378 Seiten) illustrations |
| ISBN: | 9781449369903 1449369901 9781449369408 1449369405 9781449369897 1449369898 |
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| spelling | Müller, Andreas C. VerfasserIn aut Introduction to machine learning with Python a guide for data scientists Andreas C. Müller and Sarah Guido First edition. Sebastopol, CA O'Reilly Media, Inc [2017] ©2017 1 Online-Ressource (xii, 378 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Print version record "Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you'll learn: Fundamental concepts and applications of machine learning ; Advantages and shortcomings of widely used machine learning algorithms ; How to represent data processed by machine learning, including which data aspects to focus on ; Advanced methods for model evaluation and parameter tuning ; The concept of pipelines for chaining models and encapsulating your workflow ; Methods for working with text data, including text-specific processing techniques ; Suggestions for improving your machine learning and data science skills"--Provided by publisher. Machine learning Python (Computer program language) Data mining Data Mining Machine Learning Apprentissage automatique Python (Langage de programmation) Exploration de données (Informatique) COMPUTERS ; Programming Languages ; Python Guido, Sarah VerfasserIn aut 9781449369415 Erscheint auch als Druck-Ausgabe 9781449369415 |
| spellingShingle | Müller, Andreas C. Guido, Sarah Introduction to machine learning with Python a guide for data scientists Machine learning Python (Computer program language) Data mining Data Mining Machine Learning Apprentissage automatique Python (Langage de programmation) Exploration de données (Informatique) COMPUTERS ; Programming Languages ; Python |
| title | Introduction to machine learning with Python a guide for data scientists |
| title_auth | Introduction to machine learning with Python a guide for data scientists |
| title_exact_search | Introduction to machine learning with Python a guide for data scientists |
| title_full | Introduction to machine learning with Python a guide for data scientists Andreas C. Müller and Sarah Guido |
| title_fullStr | Introduction to machine learning with Python a guide for data scientists Andreas C. Müller and Sarah Guido |
| title_full_unstemmed | Introduction to machine learning with Python a guide for data scientists Andreas C. Müller and Sarah Guido |
| title_short | Introduction to machine learning with Python |
| title_sort | introduction to machine learning with python a guide for data scientists |
| title_sub | a guide for data scientists |
| topic | Machine learning Python (Computer program language) Data mining Data Mining Machine Learning Apprentissage automatique Python (Langage de programmation) Exploration de données (Informatique) COMPUTERS ; Programming Languages ; Python |
| topic_facet | Machine learning Python (Computer program language) Data mining Data Mining Machine Learning Apprentissage automatique Python (Langage de programmation) Exploration de données (Informatique) COMPUTERS ; Programming Languages ; Python |
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