Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow
Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learnin...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2017
|
| Ausgabe: | Second edition, fully revised and updated. |
| Schriftenreihe: | Expert Insight
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781787125933/?ar |
| Zusammenfassung: | Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data. What You Will Learn Understand the key frameworks in data science, machine learning, and deep learning Harness the power of the latest Python open source libraries in machine learning Explore machine learning techniques using challenging real-world data Master deep neural network implementation using the TensorFlow library Learn the mechanics of classification algorithms to implement the best tool for the job Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Delve deeper into textual and social media data using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from s... |
| Beschreibung: | Previous edition published: 2015. - Includes index. - Includes bibliographical references at the end of each chapters and index. - Online resource; title from cover (Safari, viewed October 18, 2017) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 9781787126022 1787126021 9781787125933 |
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| spelling | Raschka, Sebastian VerfasserIn aut Python machine learning machine learning and deep learning with Python, scikit-learn, and TensorFlow Sebastian Raschka & Vahid Mirjalili Second edition, fully revised and updated. Birmingham, UK Packt Publishing 2017 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Expert Insight Previous edition published: 2015. - Includes index. - Includes bibliographical references at the end of each chapters and index. - Online resource; title from cover (Safari, viewed October 18, 2017) Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data. What You Will Learn Understand the key frameworks in data science, machine learning, and deep learning Harness the power of the latest Python open source libraries in machine learning Explore machine learning techniques using challenging real-world data Master deep neural network implementation using the TensorFlow library Learn the mechanics of classification algorithms to implement the best tool for the job Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Delve deeper into textual and social media data using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from s... Python (Computer program language) Machine learning Python (Langage de programmation) Apprentissage automatique 1787125939 Erscheint auch als Druck-Ausgabe 1787125939 |
| spellingShingle | Raschka, Sebastian Python machine learning machine learning and deep learning with Python, scikit-learn, and TensorFlow Python (Computer program language) Machine learning Python (Langage de programmation) Apprentissage automatique |
| title | Python machine learning machine learning and deep learning with Python, scikit-learn, and TensorFlow |
| title_auth | Python machine learning machine learning and deep learning with Python, scikit-learn, and TensorFlow |
| title_exact_search | Python machine learning machine learning and deep learning with Python, scikit-learn, and TensorFlow |
| title_full | Python machine learning machine learning and deep learning with Python, scikit-learn, and TensorFlow Sebastian Raschka & Vahid Mirjalili |
| title_fullStr | Python machine learning machine learning and deep learning with Python, scikit-learn, and TensorFlow Sebastian Raschka & Vahid Mirjalili |
| title_full_unstemmed | Python machine learning machine learning and deep learning with Python, scikit-learn, and TensorFlow Sebastian Raschka & Vahid Mirjalili |
| title_short | Python machine learning |
| title_sort | python machine learning machine learning and deep learning with python scikit learn and tensorflow |
| title_sub | machine learning and deep learning with Python, scikit-learn, and TensorFlow |
| topic | Python (Computer program language) Machine learning Python (Langage de programmation) Apprentissage automatique |
| topic_facet | Python (Computer program language) Machine learning Python (Langage de programmation) Apprentissage automatique |
| work_keys_str_mv | AT raschkasebastian pythonmachinelearningmachinelearninganddeeplearningwithpythonscikitlearnandtensorflow |