Some of us learn best by reading high quality books on technical topics.
This is a curated list of books for engineers on development with Automated Machine Learning (AutoML).
Alphabetical list of books on AutoML. Each cover/title links to more information about the book.
| Cover | Details |
|---|---|
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Automated Machine Learning Subtitle: Methods, Systems, Challenges Author: Frank Hutter, Lars Kotthoff, Joaquin Vanschoren Publisher: Springer, 2019 Star Ratings: 592 |
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Automated Machine Learning Subtitle: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms Author: Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren Publisher: Packt, 2021 Star Ratings: 19 |
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Automated Machine Learning and Meta-Learning for Multimedia Subtitle: n/a Author: Wenwu Zhu, Xin Wang Publisher: Springer, 2022 Star Ratings: 0 |
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Automated Machine Learning for Business Subtitle: n/a Author: Kai R. Larsen and Daniel S. Becker Publisher: Oxford University, 2021 Star Ratings: 4 |
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Automated Machine Learning in Action Subtitle: n/a Author: Qingquan Song, Haifeng Jin, Xia Hu Publisher: Manning, 2022 Star Ratings: 6 |
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Automated Machine Learning on AWS Subtitle: Fast-track the development of your production-ready machine learning applications the AWS way Author: Trenton Potgieter Publisher: Packt, 2022 Star Ratings: 13 |
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Automated Machine Learning with AutoKeras Subtitle: Deep learning made accessible for everyone with just few lines of coding Author: Luis Sobrecueva Publisher: Packt, 2021 Star Ratings: 11 |
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Automated Machine Learning with Microsoft Azure Subtitle: Build highly accurate and scalable end-to-end AI solutions with Azure AutoML Author: Dennis Michael Sawyers Publisher: Packt, 2021 Star Ratings: 29 |
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Fun with Machine Learning Subtitle: Simplify the Data Science process by automating repetitive and complex tasks using AutoML Author: Arockia Liborious and Dr. Rik Das Publisher: BPB, 2023 Star Ratings: 2 |
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Hands-On Automated Machine Learning Subtitle: A beginner's guide to building automated machine learning systems using AutoML and Python Author: Sibanjan Das and Umit Mert Cakmak Publisher: Packt, 2018 Star Ratings: 3 |
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Machine Learning Automation with TPOT Subtitle: Build, validate, and deploy fully automated machine learning models with Python Author: Dario Radečić Publisher: Packt, 2021 Star Ratings: 5 |
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Metalearning Subtitle: Applications to Automated Machine Learning and Data Mining Author: Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren Publisher: Springer, 2022 Star Ratings: 10 |
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Practical Automated Machine Learning on Azure Subtitle: Using Azure Machine Learning to Quickly Build AI Solutions Author: Deepak Mukunthu, Parashar Shah, Wee Hyong Tok Publisher: O’Reilly, 2019 Star Ratings: 24 |
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Practical Automated Machine Learning Using H2O.ai Subtitle: Discover the power of automated machine learning, from experimentation through to deployment to production Author: Salil Ajgaonkar Publisher: Packt, 2022 Star Ratings: 5 |
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Transactional Machine Learning with Data Streams and AutoML Subtitle: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python Author: Sebastian Maurice Publisher: APress, 2021 Star Ratings: 0 |
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Up and Running Google AutoML and AI Platform Subtitle: Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment Author: Navin Sabharwal and Amit Agrawal Publisher: BPB, 2020 Star Ratings: 3 |
The above list is not "all books on AutoML", instead it is filtered using the following procedure:
- Create a master list of all known books on AutoML (amazon, goodreads, google books, etc.)
- Read book blurb and table of contents to confirm relevance (for "engineers doing AutoML").
- Read reviews and check star ratings for quality (quality check).
- Read comments and discussion about the book on social (twitter/reddit/etc).
- Acquire the ebook version of the book, if possible (final read/skim to confirm relevance and quality).
- Final judgement call (publisher, gut check).
Note that I update the list based on newly published books and emails I received about new books.
Do you have ideas on how we make this list more awesome?
Email any time: Jason.Brownlee05@gmail.com