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Practical Automated Machine Learning Using H2O.ai
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Practical Automated Machine Learning Using H2O.ai
by Salil Ajgaonkar
Practical Automated Machine Learning Using H2O.ai
Practical Automated Machine Learning Using H2O.ai Copyright © 2022 Packt Publishing
Contributors
About the author
About the reviewer
Preface
Part 1 H2O AutoML Basics
Chapter 1: Understanding H2O AutoML Basics
Chapter 2: Working with H2O Flow (H2O’s Web UI)
Part 2 H2O AutoML Deep Dive
Chapter 3: Understanding Data Processing
Chapter 4: Understanding H2O AutoML Architecture and Training
Chapter 5: Understanding AutoML Algorithms
Chapter 6: Understanding H2O AutoML Leaderboard and Other Performance Metrics
Chapter 7: Working with Model Explainability
Part 3 H2O AutoML Advanced Implementation and Productization
Chapter 8: Exploring Optional Parameters for H2O AutoML
9
Exploring Miscellaneous Features in H2O AutoML
Chapter 10: Working with Plain Old Java Objects (POJOs)
Chapter 11: Working with Model Object, Optimized (MOJO)
Chapter 12: Working with H2O AutoML and Apache Spark
Chapter 13: Using H2O AutoML with Other Technologies
Index
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Practical Automated Machine Learning Using H2O.ai Copyright © 2022 Packt Publishing
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