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Automated Machine Learning in Action teaches you to automate selecting the best machine learning models or data preparation methods for your own machine learning tasks, so your pipelines tune themselves without needing constant input.
Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and Keras Tuner. Automated Machine Learning in Action, filled with hands-on examples and written in an accessible style, reveals how premade machine learning components can automate time-consuming ML tasks.
Automated Machine Learning in Action teaches you to automate selecting the best machine learning models or data preparation methods for your own machine learning tasks, so your pipelines tune themselves without needing constant input. You'll quickly run through machine learning basics that open upon AutoML to non-data scientists, before putting AutoML into practice for image classification, supervised learning, and more.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and Keras Tuner. Automated Machine Learning in Action, filled with hands-on examples and written in an accessible style, reveals how premade machine learning components can automate time-consuming ML tasks.
Automated Machine Learning in Action teaches you to automate selecting the best machine learning models or data preparation methods for your own machine learning tasks, so your pipelines tune themselves without needing constant input. You'll quickly run through machine learning basics that open upon AutoML to non-data scientists, before putting AutoML into practice for image classification, supervised learning, and more.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
- Format: Pocket/Paperback
- ISBN: 9781617298059
- Språk: Engelska
- Antal sidor: 300
- Utgivningsdatum: 2022-06-01
- Förlag: Manning Publications