Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow.
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham :
Packt Publishing,
2019.
|
| Edition: | Third edition / |
| Subjects: | |
| Online Access: | View in OPAC |
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MARC
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| 020 | |z 9781789955750 (pbk.) : |c £29.99 | ||
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| 037 | |a 9781789958294 |b Packt Publishing | ||
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| 082 | 0 | 4 | |a 006.31 |2 23 |
| 100 | 1 | |a Raschka, Sebastian, |e author. | |
| 245 | 1 | 0 | |a Python machine learning : |b machine learning and deep learning with Python, scikit-learn, and TensorFlow. |
| 250 | |a Third edition / |b Sebastian Raschka, Vahid Mirjalili. | ||
| 264 | 1 | |a Birmingham : |b Packt Publishing, |c 2019. | |
| 300 | |a 1 online resource : |b illustrations (black and white). | ||
| 336 | |a text |2 rdacontent | ||
| 336 | |a still image |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 500 | |a Previous edition: 2017. | ||
| 500 | |a Includes index. | ||
| 500 | |a Academic | ||
| 505 | 0 | |a Table of ContentsGiving Computers the Ability to Learn from DataTraining Simple ML Algorithms for ClassificationML Classifiers Using scikit-learnBuilding Good Training Datasets - Data PreprocessingCompressing Data via Dimensionality ReductionBest Practices for Model Evaluation and Hyperparameter TuningCombining Different Models for Ensemble LearningApplying ML to Sentiment AnalysisEmbedding a ML Model into a Web ApplicationPredicting Continuous Target Variables with Regression AnalysisWorking with Unlabeled Data - Clustering AnalysisImplementing Multilayer Artificial Neural NetworksParallelizing Neural Network Training with TensorFlowTensorFlow MechanicsClassifying Images with Deep Convolutional Neural NetworksModeling Sequential Data Using Recurrent Neural NetworksGANs for Synthesizing New DataRL for Decision Making in Complex Environments. | |
| 506 | 1 | |a Legal Deposit; |c Only available on premises controlled by the deposit library and to one user at any one time; |e The Legal Deposit Libraries (Non-Print Works) Regulations (UK). |5 UkOxU | |
| 540 | |a Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. |5 UkOxU | ||
| 588 | |a Description based on CIP data; resource not viewed. | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Python (Computer program language) | |
| 700 | 1 | |a Mirjalili, Vahid |e author. |9 2395 | |
| 776 | 0 | 8 | |i Print version : |z 9781789955750 |
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