skip to content
Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow Preview this item
ClosePreview this item
Checking...

Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow

Author: Sebastian Raschka; Vahid Mirajalili
Publisher: Birmingham, UK : Packt Publishing, 2017.
Edition/Format:   Print book : English : Second editionView all editions and formats
Summary:
"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  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Document Type: Book
All Authors / Contributors: Sebastian Raschka; Vahid Mirajalili
ISBN: 1787125939 9781787125933
OCLC Number: 994987320
Notes: Includes index.
Description: xviii, 595 pages : illustrations ; 24 cm
Contents: 1. Giving computers the ability to learn from data --
2. Training simple machine learning algorithms for classification --
3. A tour of machine learning classifiers using scikit-learn --
4. Building good training sets-data preprocessing --
5. Compressing data via dimensionality reduction --
6. Learning best practices for model evaluation and hyperpaarmeter tuning --
7.Combining different models for ensemble learning --
8. Applying machine learning to sentiment analysis --
9. embedding a machine learning model into a web application --
10. Predicting continuous target variables with regression analysis --
11. Working with unlabeled data-clustering analysis --
12. Implementing a multilayer artificial neural network from Scratch --
13. Parallelizing neural network training with TensorFlow --
14. Going deeper --
The mechanics of TensorFlow --
15. Classifying images with deep convolutional neural networks --
16. Modeling sequential data using recurrent neural networks.
Responsibility: Sebastian Raschka, Vahid Mirajalili.

Abstract:

"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. "--Publisher's description.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.

Similar Items

Related Subjects:(4)

User lists with this item (6)

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/994987320> # Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow
    a schema:Book, schema:CreativeWork ;
    library:oclcnum "994987320" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/enk> ;
    schema:about <http://dewey.info/class/005.133/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/4679782355#Topic/apprentissage_automatique> ; # Apprentissage automatique
    schema:about <http://experiment.worldcat.org/entity/work/data/4679782355#Topic/machine_learning> ; # Machine learning
    schema:about <http://experiment.worldcat.org/entity/work/data/4679782355#Topic/python_computer_program_language> ; # Python (Computer program language)
    schema:about <http://experiment.worldcat.org/entity/work/data/4679782355#Topic/python_langage_de_programmation> ; # Python (Langage de programmation)
    schema:author <http://experiment.worldcat.org/entity/work/data/4679782355#Person/mirajalili_vahid> ; # Vahid Mirajalili
    schema:author <http://experiment.worldcat.org/entity/work/data/4679782355#Person/raschka_sebastian> ; # Sebastian Raschka
    schema:bookEdition "Second edition." ;
    schema:bookFormat bgn:PrintBook ;
    schema:datePublished "2017" ;
    schema:description "1. Giving computers the ability to learn from data -- 2. Training simple machine learning algorithms for classification -- 3. A tour of machine learning classifiers using scikit-learn -- 4. Building good training sets-data preprocessing -- 5. Compressing data via dimensionality reduction -- 6. Learning best practices for model evaluation and hyperpaarmeter tuning -- 7.Combining different models for ensemble learning -- 8. Applying machine learning to sentiment analysis -- 9. embedding a machine learning model into a web application -- 10. Predicting continuous target variables with regression analysis -- 11. Working with unlabeled data-clustering analysis -- 12. Implementing a multilayer artificial neural network from Scratch -- 13. Parallelizing neural network training with TensorFlow -- 14. Going deeper -- The mechanics of TensorFlow -- 15. Classifying images with deep convolutional neural networks -- 16. Modeling sequential data using recurrent neural networks."@en ;
    schema:description ""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. "--Publisher's description."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/4679782355> ;
    schema:inLanguage "en" ;
    schema:name "Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow"@en ;
    schema:productID "994987320" ;
    schema:workExample <http://worldcat.org/isbn/9781787125933> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/994987320> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/4679782355#Person/mirajalili_vahid> # Vahid Mirajalili
    a schema:Person ;
    schema:familyName "Mirajalili" ;
    schema:givenName "Vahid" ;
    schema:name "Vahid Mirajalili" ;
    .

<http://experiment.worldcat.org/entity/work/data/4679782355#Person/raschka_sebastian> # Sebastian Raschka
    a schema:Person ;
    schema:familyName "Raschka" ;
    schema:givenName "Sebastian" ;
    schema:name "Sebastian Raschka" ;
    .

<http://experiment.worldcat.org/entity/work/data/4679782355#Topic/apprentissage_automatique> # Apprentissage automatique
    a schema:Intangible ;
    schema:name "Apprentissage automatique"@fr ;
    .

<http://experiment.worldcat.org/entity/work/data/4679782355#Topic/python_computer_program_language> # Python (Computer program language)
    a schema:Intangible ;
    schema:name "Python (Computer program language)"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4679782355#Topic/python_langage_de_programmation> # Python (Langage de programmation)
    a schema:Intangible ;
    schema:name "Python (Langage de programmation)"@fr ;
    .

<http://worldcat.org/isbn/9781787125933>
    a schema:ProductModel ;
    schema:isbn "1787125939" ;
    schema:isbn "9781787125933" ;
    .

<http://www.worldcat.org/title/-/oclc/994987320>
    a genont:InformationResource, genont:ContentTypeGenericResource ;
    schema:about <http://www.worldcat.org/oclc/994987320> ; # Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow
    schema:dateModified "2018-07-05" ;
    void:inDataset <http://purl.oclc.org/dataset/WorldCat> ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.