Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow / Sebatian Raschka, Vahid Mirjalili.

Author/creator Raschka, Sebastian
Other author Mirjalili, Vahid.
Format Electronic
EditionSecond edition, fully revised and updated.
Publication InfoBirmingham : Packt Publishing, 2017.
Description1 online resource (622 pages)
Supplemental ContentEBSCOhost
Subjects
Python (Computer program language)
Machine learning.

Contents Giving computers the ability to learn from data -- Training simple machine learning algorithms for classification -- A tour of machine learning classifiers using scikit-learn -- Building good training sets -- data preprocessing -- Compressing data via dimensionality reduction -- Learning best practices for model evaluation and hyperparameter tuning -- Combining different models for ensemble learning -- Applying machine learning to sentiment analysis -- Embedding a machine learning model into a web application -- Predicting continuous target variables with regression analysis -- Working with unlabeled data -- clustering analysis -- Implementing a multilayer artificial neural network from scratch -- Parallelizing neural network training and TensorFlow -- Going deeper -- the mechanics of TensorFlow -- Classifying images with deep convolutional neural networks -- Modeling sequential data using recurrent neural networks.
Bibliography noteIncludes bibliographical references at the end of each chapters and index.
Source of descriptionPrint version record.
Issued in other formPrint version: Raschka, Sebastian. Python Machine Learning - Second Edition. Birmingham : Packt Publishing, ©2017
Genre/formElectronic books.
ISBN9781787126022
ISBN1787126021
Stock number1037403 MIL
Stock numberF1E1965B-EB06-47C1-9822-D3B677B47F98 OverDrive, Inc. http://www.overdrive.com

Availability

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Electronic Resources Access Content Online ✔ Available