Automated Machine Learning in Action
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The document promotes 'Automated Machine Learning in Action,' which teaches how to optimize machine learning pipelines using automated tools like Autokeras and Keras Tuner. It highlights the benefits of automating complex processes in machine learning, enabling data scientists and domain experts to efficiently apply machine learning models. The book includes hands-on examples and is authored by the creators of the Autokeras system, providing insights and techniques to enhance machine learning automation.
Automated Machine Learning in Action
- 1. Optimizing ML pipelines with Automated Machine Learning in Action. Take 40% off by entering slsong into the discount code box at checkout at manning.com.
- 2. Automated machine learning (AutoML) automates complex and time-consuming stages in a machine learning pipeline with prepackaged optimal solutions. This frees up data scientists from data processing and manual tuning, and lets domain experts easily apply machine learning models to their projects.
- 3. Automated Machine Learning in Action reveals how premade machine learning components can automate time-consuming ML tasks. It’s filled with hands-on examples for applying AutoML techniques to every stage of a pipeline. You’ll use tools like AutoKeras to create pipelines that automatically select the best approach for your task, remove the burden of manual tuning, and can even be implemented by machine learning novices!
- 4. Automated Machine Learning in Action teaches you to automate your machine learning pipelines with AutoKeras and Keras Tuner. Written by the creators of the AutoKeras system, it’s full of AutoML techniques and advanced toolkits for optimizing how your machine learning models function.
- 5. What people are saying about the book: Helps you to clearly understand the process of Machine Learning automation. The examples are clear, concise, and applicable to the real world. -Walter Alexander Mata López Automating automation itself is a new concept and this book does justice to it in terms of explaining the concepts, sharing real world advancements, use cases and research related to the topic. -Satej Kumar Sahu
- 6. About the authors: Qingquan Song, Haifeng Jin, and Dr. Xia “Ben” Hu are the creators of the AutoKeras automated deep learning library. Qingquan and Haifeng are PhD students at Texas A&M University, and have both published papers at major data mining conferences and journals. Dr. Hu is an associate professor at Texas A&M University in the Department of Computer Science and Engineering, whose work has been utilized by TensorFlow, Apple, and Bing.
- 7. Take 40% off Automated Machine Learning in Action by entering slsong into the discount code box at checkout at manning.com. If you want to learn more about the book, you can check it out on our browser-based liveBook platform here.