Data science solutions with Python : fast and scalable models using Keras, Pyspark Mllib, H2O, XGBoost, and scikit-Learn
Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer features, optimize hyperparameters, train and test models, develop pipelines, and automate the machine learning (ML) process. The book covers an in-memory, distribute...
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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
[United States] :
Apress,
2022.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9781484277621 1484277627 1484277619 9781484277614 |
| Physical Description | 1 online resource |